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🏷️ Tags (8587 usages)
⚗️ Metals 2487
▸ Metals — Platinum (109)
apoptosis (297)Pt (214)pt (24)ferroptosis (22)oxaliplatin (21)cisplatin (21)pyroptosis (7)necroptosis (6)transcription (6)carboplatin (5)transcription factors (5)transcriptional regulation (5)platinum (4)lead optimization (3)transcription regulation (3)metabolic adaptation (3)pt(ii) complexes (2)transcriptional regulatory interactions (2)ferroptosis induction (2)transcription initiation (2)transcription-coupled repair (2)adaptive binding (2)cellular adaptation (2)post-transcriptional regulation (2)pt(dach)methionine (1)transcription-coupled nucleotide excision repair (tc-ner) (1)triptolide (1)molecular optimization (1)pt(dach)cl4 (1)innate apoptotic immunity (1)pta (1)oligopeptides (1)transcription-coupled ner (1)ferroptosis suppressor protein 1 (fsp1) (1)apoptotic cells (1)platinumbased (1)hptab (1)signaling-transcriptional mechanisms (1)oncogene transcription inhibition (1)pt2 (1)admet optimization (1)receptor (1)pten (1)platinum(ii) (1)chain-of-thought prompt engineering (1)tetrapeptides (1)apoptotic function (1)adaptive immune response (1)gpt-2 (1)platinum drugs (1)ptii complex (1)platinum complexes (1)transcriptomics (1)cell metabolism disruption (1)peptide (1)pt(s,s-dab) (1)pt(r,r-dab) (1)pt3(hptab) (1)estrogen receptor (1)transcriptional addiction (1)transcription stress (1)septicemia (1)optical spectroscopies (1)receptors (1)selective serotonin reuptake inhibitors (ssri) (1)transcription-coupled nucleotide excision repair (1)pt(r,r-dach) (1)chiroptical response (1)diplatinum helicate (1)cyclometalated 1,3-bis(8-quinolyl) phenyl chloroplatinum(ii) (1)transcriptional activity (1)pt1 (1)disrupting a base pair (1)platinum-containing drugs (1)gpt-4 (1)transcriptional stalling (1)transcription inhibition (1)apoptotic (1)eukaryotic transcription (1)base pairing disruption (1)apoptosis-related disorders (1)coordination chemistry is not relevant, but bioinorganic and medicinal chemistry are related concepts (1)chatgpt (1)apoptosis induction (1)platinum(ii)-based (1)transcriptional activation (1)platinum-based compounds (1)inhibition of transcription factors (1)molecular descriptors (1)pt(dach)oxalato (1)polypeptide chains (1)pt(dach)cl2 (1)glp-1 receptor agonists (1)chiroptical applications (1)pt(s,s-dach) (1)cell-penetrating peptides (1)cysteine uptake (1)therapeutic optimization (1)shape description methods (1)transcription blockage (1)antiferroptotic (1)rna transcription (1)electronic absorption (1)cellular adaptation to hypoxia (1)ferroptosis suppressor protein 1 (1)apoptosis evasion (1)phosphopeptide-based kinome analysis (1)anti-apoptotic (1)gpt (1)
▸ Metals — Cobalt (185)
coordination-chemistry (102)Co (64)coordination chemistry (55)colorectal cancer (19)computational biology (7)spectroscopy (7)computational chemistry (6)computational modeling (6)pharmacology (6)co (5)pharmacovigilance (5)cryo-electron microscopy (4)glucose (4)colon cancer (4)metal complexes (4)glycolysis (4)oncology (4)pharmacokinetics (4)conformational change (3)glycocalyx (3)oncometabolite (3)complex i (3)oncosis (3)oncogenesis (2)polypharmacology (2)in-silico (2)plant secondary metabolites (2)computational approaches (2)in silico (2)convolutional neural networks (2)complex iii (2)natural compounds (2)pharmacodynamics (2)mitochondrial complex i (2)aerobic glycolysis (2)oncogene (2)covid-19 (2)microviscosity (1)pharmacometabolomics (1)complex formation (1)redox control (1)fatty alcohols (1)influence on physicochemical properties (1)fluorescence recovery after photobleaching (1)convolutional neural network (1)conditional lethality (1)picolinic acid (1)sars-cov-1 (1)metabolic control (1)pharmacological inhibition (1)pharmacokinetic (1)therapeutic controversy (1)multicolor emission (1)co2 fixation (1)protein complex (1)oncogenes (1)recombination (1)confocal microscopy (1)metal-ligand cooperation (1)cell surface recognition (1)sarcoma (1)network pharmacology (1)covalent interaction (1)escherichia coli (1)cobalamin (1)reversible compartmentalization (1)oncogene promoter regions (1)cellular compartments (1)coulometric karl fischer apparatus (1)combinatorial treatment (1)heme-containing enzymes (1)coimmunoprecipitation assay (1)glycosphingolipids (1)comorbidities (1)glycolytic activity (1)computational metabolomics (1)conformational isomerization (1)constitutive induction (1)confocal imaging (1)alcoholic hepatitis (1)knowledge discovery (1)oncogenic mutation (1)cobaltocene (1)coordination (1)computational approach (1)inorganic compounds (1)toxicology (1)conformational stability (1)connectivity mapping (1)mitochondrial uncoupling protein 2 (1)pharmacokinetic analyses (1)membrane permeability comparison (1)computer models (1)pathological conditions (1)dna condensation (1)4-octyl-itaconate (4-oi) (1)glucose dependence (1)cockayne's syndrome (1)atomic force microscope (1)complex diseases (1)dna conformational distortion (1)computational prediction (1)health economics (1)viscometry (1)conformational transitions (1)anticoagulant (1)glycome (1)oncogenic pathways (1)mitochondrial quality control (1)spin-orbit coupling (1)cytosolic ca21 concentration (1)cobamide (1)glycobiology (1)coimmunoprecipitation (1)dual protein expansion microscopy (1)brightfield microscopy (1)complexes (1)fluorescence recovery after photobleaching (frap) (1)glucose deprivation resistance (1)physicochemical properties (1)cell-like compartments (1)expansion microscopy (1)anticoagulants (1)ascorbic acid (1)oncogenic signaling (1)collective intelligence (1)cordycepin (1)genetic encoding (1)co2 (1)coupled-cluster computations (1)atp-competitive inhibitors (1)non-covalent interaction (1)computational methods (1)conformational states (1)conformational transition (1)electronic health records (1)sars-cov-2 (1)computational models (1)pharmacodynamic (1)text encoder (1)social cognition (1)sensory nerve conduction velocity (1)covalent binding (1)oncogene-mediated cellular transformation (1)fluorescence microscopy (1)glycolysis pathway (1)electronic conductometry (1)conformational landscapes (1)inductively coupled plasma mass spectrometry (1)itaconate (1)co(terpy)2+ (1)nmr spectroscopy (1)computational analysis (1)inductively coupled plasma mass spectrometer (1)coenzyme q10 (1)cell communication (1)colony formation assay (1)physico-chemical mechanisms (1)recognition (1)glycolytic enzymes (1)systems pharmacology (1)atomic force microscopy (1)computational methodologies (1)oncogenic (1)click expansion microscopy (1)glycosylation (1)n-(2-picolyl)salicylimine (1)ewing sarcoma (1)computational study (1)anticoagulation (1)confocal laser scanning microscopy (1)immuno-oncology (1)genome conformation profiling (1)somatic comorbidities (1)uv-vis spectroscopy (1)in silico analysis (1)co-immunoprecipitation (1)caco-2 cell monolayers (1)scoping review (1)conformational switch (1)damage recognition (1)entity recognition (1)energy conversion (1)noncovalent interactions (1)computer analysis (1)
▸ Metals — Iron (60)
▸ Metals — Ruthenium (86)
Ru (41)drug discovery (27)drug-delivery (23)drug resistance (11)prodrug (9)drug-drug interactions (9)drugs (7)adverse drug reactions (7)structural biology (7)drug repurposing (6)drug delivery (5)drug (5)drug development (5)g-quadruplex dna (4)ru (4)protein structure (3)drug interactions (3)structural analysis (3)drug screening (3)drug-target interaction prediction (3)g-quadruplex (3)drug design (3)drug repositioning (2)metallodrugs (2)structural data (2)drug-target interaction (2)serum (1)structure-based virtual screening (1)recruitment (1)hexammineruthenium(iii) (1)drug testing (1)spectrum diagrams (1)drug therapy (1)drug safety monitoring (1)drug sensitivity and resistance testing (1)drug safety assessment (1)structure (1)structural insights (1)adverse drug reaction detection (1)drug sensitization (1)drug target (1)truncations (1)drug-drug interaction prediction (1)protein structure-function relationship (1)pyruvate (1)drug-drug interaction identification (1)phenotypic drug screening (1)spontaneous adverse drug reaction reports (1)structural basis (1)antiviral drug discovery (1)drug tolerance (1)green rust (1)structural modeling (1)small-molecule drugs (1)structural methods (1)drug-nutrient interactions (1)adverse drug events (1)computational drug discovery (1)metal-based drugs (1)structural rearrangement (1)protein structure analysis (1)virus (1)small-molecule oral drugs (1)targeted drug delivery (1)adverse drug reaction (1)chemical drugs (1)doxorubicin (1)drug resistance reduction (1)drug-likeness (1)drug interaction prediction (1)drug target identification (1)macromolecular structure determination (1)resorufin (1)drug interaction analysis (1)drug combinations (1)non-steroidal anti-inflammatory drugs (nsaids) (1)structural bioinformatics (1)structure prediction (1)drug response (1)drug interaction screening (1)ruthenium(ii)-based (1)drug detection (1)structure-function analysis (1)metal-based drug (1)protocellular structures (1)drug interaction identification (1)
▸ Metals — Copper (63)
▸ Metals — Gold (19)
▸ Metals — Iridium (29)
▸ Metals — Others (17)
▸ Metals — Palladium (13)
▸ Metals — Zinc (5)
▸ Metals — Other (17)
🔬 Methods 1116
▸ Methods — Other experimental (213)
synthesis (244)ML (51)docking (23)natural language processing (12)in vitro (7)in vivo (6)morphological profiling (4)literature search (4)benchmarking (4)network analysis (4)image-based profiling (3)biochemical analysis (3)text analysis (3)bibliometric analysis (3)api (2)incites (2)vosviewer (2)experimental (2)theoretical studies (2)high-throughput screening (2)sequence analysis (2)information extraction (2)pubmed (2)cck-8 assay (2)statistics (2)lectin array (2)statistical approach (2)literature review (2)genetic (2)icite (2)lectin microarray (2)semantic search (2)data visualization (1)in vivo studies (1)target-based approaches (1)permeability measurement (1)gene expression profile (1)patch clamp (1)cnns (1)knockout mouse studies (1)cpg island methylator phenotype (1)in vitro models (1)immunoblot (1)bret2 (1)preclinical models (1)graph theory (1)gnns (1)passive rheology (1)nonequilibrium sensitivity analysis (1)ex vivo (1)multilayer network integration (1)inhibition assay (1)go analysis (1)experimental data analysis (1)caspase activity (1)nct (1)esm (1)web of science (1)gene expression microarray (1)uv light exposure (1)text2sql (1)decision-making (1)short tandem repeat profiling (1)in-vitro (1)analytical determination methods (1)perturbation (1)immunospecific antibodies (1)overexpression (1)mechanistic analysis (1)nuclease digestion (1)enzymatic reaction (1)excision assay (1)nuclear magnetic resonance (not explicitly mentioned but implied through study of variants) (1)pampa assay (1)experimental studies (1)null models (1)binding studies (1)clinical analysis (1)semi-supervised learning (1)efficacy analyses (1)supervised learning (1)electric field application (1)mouse model (1)estimates (1)isothermal calorimetry (1)rational design (1)learning to rank (1)gene expression analysis (1)fluorometry (1)octanol-aqueous shake-flask method (1)polypharmacy regimens (1)predictive models (1)xr-seq (1)graph learning (1)human studies (1)in vivo lung perfusion (1)merip-seq (1)uv-detection (1)atp hydrolysis (1)clinical methods (1)data processing (1)glovebox-bound apparatus (1)hoechst 33,258 staining (1)mutational analyses (1)semantic retrieval (1)solid-phase microextraction (1)immunization (1)pathscan array (1)quantitative phase behavior (1)natural bond orbital (nbo) analysis (1)ai (1)immunological analysis (1)cellular assays (1)synthetic biology tools (1)nanotherapeutic approaches (1)splicing regulation profiling (1)genome-wide screening (1)loss-of-function screens (1)histochemical staining (1)resazurin reduction assay (1)stopped-flow ph jump experiments (1)protein language model (1)experimental validation (1)matrix factorization (1)giao method (1)multi-head attention mechanism (1)rnns (1)phase ii trial (1)calorimetry (1)high throughput screening (1)trp emission (1)self-supervised learning (1)chemocentric approach (1)graph-based learning (1)tcga analysis (1)theoretical framework (1)machine-learning algorithms (1)ablation experiments (1)boolean logic (1)guanidine hydrochloride denaturation (1)ic50 index (1)statistical analysis (1)quantification (1)ensemble learning (1)in vitro study (1)relation search (1)relation extraction (1)image segmentation (1)genetic studies (1)genome-wide analysis (1)knockdown (1)ccsd(t) (1)biochemical characterization (1)performance evaluation (1)nbo 3.1 (1)rocplotter (1)mitoplast preparation (1)cryoem (1)entity annotation (1)modeling (1)systems engineering (1)database analysis (1)radiation exposure (1)prognostic tools (1)mouse models (1)nuclear magnetic resonance (1)proximity ligation assays (1)mp2(fc)/6–311 +  + (2d,2p) (1)personalized treatments (1)ncbi e-utilities (1)gradient boosting machines (1)kegg analysis (1)genetic algorithm (1)algorithms (1)experimental design (1)system-level/network analyses (1)visualized analysis (1)aimall (1)radiotherapy (1)laboratory methods (1)displacement assay (1)electrophoretic retardation measurements (1)seahorse platform (1)normoxia (1)mixture modeling (1)high-throughput (1)experimental methods (1)slot blot (1)magnetic tweezers (1)thermal denaturation (1)global genome ner (1)genetic profiling (1)mutation analysis (1)algorithm development (1)modelling (1)cell migration assay (1)methylome profiling (1)biochemical studies (1)patch clamping (1)umbrella review (1)zotero (1)immunoblotting (1)statistical methods (1)cellular models (1)miclip (1)fluorometric assay (1)enzymatic assays (1)genetic analysis (1)photophysical (1)biomedical information retrieval (1)logistic regression (1)in-vivo (1)mutational status analysis (1)
▸ Methods — Computational (31)
▸ Methods — Crystallography / Structure (4)
▸ Methods — Cell biology (21)
▸ Methods — Spectroscopy (19)
▸ Methods — Genomics / Omics (25)
▸ Methods — Mass spec / Chromatography (6)
▸ Methods — Clinical / Epidemiology (8)
▸ Methods — Electrochemistry (5)
▸ Methods — Other (1)
🎯 Targets 980
▸ Targets — Mitochondria (15)
▸ Targets — Other (157)
protein (58)enzyme (19)heme (11)gene expression (10)nucleus (9)genome (5)cardiolipin (5)enzymes (5)are (4)nucleolus (4)genetic variants (4)tfiih (4)lipids (4)signal transduction (4)cytoplasm (4)cellular metabolism (4)cell metabolism (3)cell surface (3)ribosome (3)metalloproteins (3)cells (3)cell (3)fumarate hydratase (2)dihydroorotate dehydrogenase (2)ubiquinone (2)stress response (2)tubulin (2)cytosol (2)polysulfides (2)cytochrome c oxidase (2)xpb (2)aif (2)genes (2)ribosome biogenesis (2)chromophore (1)none (1)substrates (1)clinical notes (1)acsl4 (1)protein phosphatase 2a (1)dpscs (1)albumin (1)tissues (1)trxr (1)substrate (1)platelet aggregation (1)tbk1 (1)metabolic phenotype (1)lab results (1)intracellular ph (1)sqr (1)cellular biochemistry (1)target (1)healthy cells (1)sting (1)gene targets (1)variants (1)three-way junction (1)heme-oxygenase1 (1)ddr1 (1)cajal bodies (1)target genes (1)upr (1)mif (1)heme a3 (1)nucleic acids (1)intracellular substrates (1)hydrogen sulfide (h2s) (1)mt1-mmp (1)gene (1)plasma proteins (1)adenine (1)metabolic signatures (1)nuclear foci (1)mscs (1)caspase cascade (1)p65 (1)dna synthesis (1)ddb2 (1)nuclear factor (1)hmga2 (1)ecm (1)diseases (1)spliceosomal proteins (1)neurons (1)smn protein (1)nadh/nad(p)h (1)rtk clusters (1)reactive species (1)metal (1)translation initiation (1)ligand (1)lipid droplet (1)metabolic enzymes (1)pkcd (1)protein kinases (1)peripheral nervous system (1)stem cells (1)cellular targets (1)metalloenzyme (1)chemical reactions (1)4ebp1 (1)procaspase 3 (1)ump synthase (1)rbx1 (1)literature-based evidence (1)ras (1)metabolic biomarkers (1)guanine (1)metal centers (1)ccr7 (1)cytochrome p450 2e1 (1)cell nucleus (1)lung tissue (1)ph (1)stress granules (1)erythrocytes (1)hexokinase 2 (1)nucleic acid (1)nitrogen species (1)four-way junction (1)nucleolar protein (1)p21 (1)mek1/2 (1)membrane potential (1)polysulfides (h2sn) (1)mek (1)annexin v (1)atp production (1)actin (1)traf5 (1)tme (1)cytoskeleton (1)proteoforms (1)cell cycle (1)p47phox (1)metabolome (1)cellular (1)aldoa (1)oxidants (1)zbp1 (1)cellular machines (1)atp (1)actin filaments (1)disease network (1)lipid damage (1)focal adhesions (1)p97 (1)protein sequence (1)xpc (1)whole cell (1)p38 (1)plectin (1)plasmids (1)propidium iodide (1)nadph oxidase 1 (nox1) (1)hdac enzymes (1)
▸ Targets — Nucleic acids (44)
▸ Targets — Membrane / Transport (15)
▸ Targets — Enzymes / Kinases (18)
▸ Targets — Transcription factors (5)
🦠 Diseases 880
▸ Diseases — Cancer (69)
▸ Diseases — Other (41)
▸ Diseases — Neurodegenerative (18)
▸ Diseases — Inflammatory / Immune (6)
▸ Diseases — Metabolic (5)
▸ Diseases — Cardiovascular (6)
▸ Diseases — Hepatic / Renal (8)
⚙️ Mechanisms 800
▸ Mechanisms — ROS / Redox (65)
▸ Mechanisms — Other (96)
cell cycle arrest (16)enzyme inhibition (12)phosphorylation (5)gene expression regulation (5)cell cycle regulation (4)persulfidation (3)detoxification (3)ligand dissociation (2)sequence variants (2)mechanism of action (2)resistance (2)inactivation (2)invasion inhibition (1)er stress responses (1)hormesis (1)invasiveness (1)epithelial-to-mesenchymal transition inhibition (1)oxygen-dependent metabolism (1)aquation (1)paracellular permeability (1)translation efficiency (1)denaturation (1)sequestration (1)oxidative post-translational modification (1)lipid metabolism (1)duplex unwinding (1)unfolded protein response (1)antioxidation (1)calcium regulation (1)radical formation (1)oxidative damage (1)splicing regulation (1)cell growth arrest (1)protein destabilization (1)multivalent interactions (1)protein phosphatase 2a modulation (1)protein dislocation (1)cell growth suppression (1)proteotoxic stress (1)protein rearrangements (1)p21 translation inhibition (1)gg-ner (1)pseudohypoxia (1)hypoxic response (1)electron shuttle (1)low-barrier hydrogen bond (1)kinase inhibition (1)synthetic lethality (1)stress responses (1)mutagenesis (1)subcellular relocalization (1)weak interactions (1)proton ejection (1)metabolic fuel selection (1)posttranslational modification (1)regulatory interactions (1)proton pumps (1)genetic regulation (1)protein unfolding (1)nucleolar homeostasis (1)ligand switch (1)ribosomopathies (1)oxidation-reduction (1)induced fit (1)localization (1)genetic mutation (1)mode of action (1)nucleolar stress response (1)cell killing capacity (1)ligand exchange (1)bond breaking (1)kinase activation (1)modulation (1)diadduct formation (1)cytoskeleton modulation (1)radical-mediated reaction (1)electron self-exchange (1)protein shuttling (1)pore formation (1)cellular metabolism regulation (1)nuclear export processes (1)ion selectivity (1)cell survival suppression (1)stabilization (1)cell damage (1)mitochondrial bioenergetics (1)gene therapy (1)cytochrome p450 2e1 inhibition (1)oxidative metabolic phenotype (1)phosphorylation regulation (1)aggregation (1)downregulation (1)glutamate exchange (1)acidosis (1)dysregulated gene expression (1)glycan expression (1)
▸ Mechanisms — Signaling (51)
▸ Mechanisms — Immune modulation (21)
▸ Mechanisms — DNA damage / Repair (5)
▸ Mechanisms — Epigenetic (18)
▸ Mechanisms — Cell death (7)
▸ Mechanisms — Protein interaction (14)
▸ Mechanisms — Metabolic rewiring (8)
🔗 Ligands 659
▸ Ligands — N-donor (25)
▸ Ligands — Heterocyclic (9)
▸ Ligands — C-donor / NHC (4)
▸ Ligands — S-donor (14)
▸ Ligands — O-donor (7)
▸ Ligands — Other (8)
▸ Ligands — P-donor (2)
▸ Ligands — Peptide / Protein (4)
▸ Ligands — Macrocyclic (3)
▸ Ligands — Polydentate (5)
🧠 Concepts 612
▸ Concepts — Other biomedical (178)
medicinal chemistry (122)photoactivated (27)cell biology (13)chemotherapy (11)metabolism (10)biochemistry (9)artificial intelligence (7)large language models (7)systems biology (6)information retrieval (5)precision medicine (5)gene regulation (5)data mining (5)chemoprevention (4)cheminformatics (4)therapeutic target (4)mitophagy (4)immunology (4)genetics (4)biomedical research (3)large language model (3)biomedical literature (3)hydrogen bonding (3)post-translational modifications (3)chemotherapy resistance (3)variant interpretation (3)immunometabolism (3)physiology (2)clinical practice (2)evidence extraction (2)biotransformation (2)metabolic regulation (2)physiological relevance (2)chemical biology (2)cell cycle progression (2)immunomodulation (2)biophysics (2)protein modification (2)biopharmaceutics (2)immunity (2)in vitro modeling (2)post-translational modification (2)targeted therapy (2)predictive modeling (2)therapy resistance (2)desiccant efficiency (1)multimodal data integration (1)stereochemistry (1)variant evaluation (1)epithelial-mesenchymal transition (1)metalloprotein (1)genetic screening (1)self-assembly (1)personalized therapy (1)protein function prediction (1)cellular mechanisms (1)protein targeting (1)evidence-based medicine (1)photophysics (1)protein modifications (1)translational research (1)paracellular transport (1)helicase mechanism (1)chemiosmosis (1)polarizability (1)nonequilibrium (1)genotype characterization (1)nuclear shape (1)nutrient dependency (1)metabolic engineering (1)interactome (1)therapies (1)probing (1)multiscale analysis (1)reactive species interactome (1)tissue-specific (1)pharmaceutics (1)knowledge extraction (1)metabolic activities (1)protein function (1)chemical ontology (1)proton delocalization (1)permeability (1)biomarkers (1)prediction tool (1)mechanisms of action (1)protein-ligand binding affinity prediction (1)short hydrogen bonds (1)chemical language models (1)biomedical informatics (1)organelle function (1)microbiome (1)pathogenesis (1)mechanistic framework (1)biosignatures (1)cellular stress response (1)ion-selective electrodes (1)multimodal fusion (1)gasotransmitter (1)carbon metabolism (1)bioengineering (1)ion association (1)enzyme mechanism (1)symmetry breaking (1)micropolarity (1)genome stability (1)scaffold (1)global health (1)clinical implications (1)cellular neurobiology (1)mesh indexing (1)llm (1)therapeutic strategy (1)ner (1)dissipative behavior (1)enzymology (1)pretrained model (1)longevity (1)profiling approaches (1)multimodal information integration (1)therapeutic implications (1)astrobiology (1)protein sequence analysis (1)selective degradation (1)mechanical properties (1)biomedical literature search (1)metabolism regulation (1)extracellular vesicles (1)protein chemistry (1)foundation model (1)data science (1)low-barrier hydrogen bonds (1)variant detection (1)synthetic biology (1)therapeutic innovation (1)therapeutic targeting (1)metabolic dependencies (1)protein data bank (1)cellular biology (1)phenotypic screening (1)immunoengineering (1)database (1)thermochemistry (1)therapeutic approaches (1)medical subject heading (1)network biology (1)inorganic chemistry (1)immunoregulation (1)ageing (1)protein interaction networks (1)hormone mimics (1)therapeutics (1)chemotherapy efficacy (1)metabolite-mediated regulation (1)regulatory landscape (1)chemical informatics (1)mental well-being (1)personalized medicine (1)cell plasticity (1)protein science (1)metabolic therapy (1)cell polarity (1)bioavailability (1)biomedicine (1)cellular stress (1)network medicine (1)energy transduction (1)boron helices (1)nucleolar biology (1)sialic acid (1)organic solvent drying (1)phenotypic analysis (1)in vivo perfusion (1)polypharmacy (1)hyperglycemia (1)phenotypic screens (1)mechanobiology (1)nuclear organization (1)
▸ Concepts — Bioinorganic (7)
▸ Concepts — Thermodynamics / Kinetics (10)
▸ Concepts — Evolution / Origin of life (9)
▸ Concepts — Nanomedicine / Delivery (2)
▸ Concepts — Cancer biology (1)
📦 Other 583
▸ Other (169)
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309 articles with selected tags
Houssem Ben Khalfallah, Mariem Jelassi, Hajar Rissaoui +4 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-20
We hypothesize that the first ancestral "protocell" molecular structures, i.e., the first RNAs and peptides that gradually transformed into real cells once the Earth had cooled sufficiently for organi Show more
We hypothesize that the first ancestral "protocell" molecular structures, i.e., the first RNAs and peptides that gradually transformed into real cells once the Earth had cooled sufficiently for organic molecules to appear, have left traces in the RNAs and the genes in present cells. We propose a circular RNA that could have been one of these ancestral structures whose vestigial pentameric subsequences would mark the evolution from this key moment when the protocells began to join with living organisms. In particular, we propose that, in present RNAs (ribosomal or messenger), which play an important role in the metabolism of current cells, we look for traces of the proposed primitive structure in the form of pentamers (or longer fragments) that belong to their nucleotide sequence. The result obtained can be summarized in the existence of a gradient of occurrence of such pentamers, with a high frequency for the most vital functions (protein synthesis, nucleic synthesis, cell respiration, etc.). This gradient is also visible between organisms, from the oldest (Archaea) to the most recent (Eukaryotes) in the evolution of species. Show less
no PDF DOI: 10.3390/ijms25147521
amino-acid review synthesis
Salsabilla Izzah Nurheibah, Nilofar Danishmalik Sayyed, Alexander V Batyanovskii +6 more · 2024 · Biochemical and biophysical research communications · Elsevier · added 2026-04-20
Targeting the hydrophobic Phe43 pocket of HIV's envelope glycoprotein gp120 is a critical strategy for antiviral interventions due to its role in interacting with the host cell's CD4. Previous inhibit Show more
Targeting the hydrophobic Phe43 pocket of HIV's envelope glycoprotein gp120 is a critical strategy for antiviral interventions due to its role in interacting with the host cell's CD4. Previous inhibitors, including small molecules and CD4 mimetic peptides based on scyllatoxin, have demonstrated significant binding and neutralization capabilities but were often chemically synthesized or contained non-canonical amino acids. Microbial expression using natural amino acids offers advantages such as cost-effectiveness, scalability, and efficient production of fusion proteins. In this study, we enhanced the previous scyllatoxin-based synthetic peptide by substituting natural amino acids and successfully expressed it in E. coli. The peptide was optimized by mutating the C-terminal amidated valine to valine and glutamine, and by reducing the disulfide bonds from three to two. Circular dichroism confirmed proper secondary structure formation, and fluorescence polarization analysis revealed specific, concentration-dependent binding to HIV gp120, supported by molecular dynamics simulations. These findings indicate the potential for scalable microbial production of effective antiviral peptides, with significant applications in pharmaceutical development for HIV treatment. Show less
no PDF DOI: 10.1016/j.bbrc.2024.150310
amino-acid imaging synthesis
Dai Q, Wei X, Zhao J +5 more · 2024 · Oncology Reports · added 2026-04-20
Ferroptosis, a regulated form of cell death, is intricately linked to iron‑dependent lipid peroxidation. Recent evidence strongly supports the induction of ferroptosis as a promising strategy f Show more
Ferroptosis, a regulated form of cell death, is intricately linked to iron‑dependent lipid peroxidation. Recent evidence strongly supports the induction of ferroptosis as a promising strategy for treating cancers resistant to conventional therapies. A key player in ferroptosis regulation is ferroptosis suppressor protein 1 (FSP1), which promotes cancer cell resistance by promoting the production of the antioxidant form of coenzyme Q10. Of note, FSP1 confers resistance to ferroptosis independently of the glutathione (GSH) and glutathione peroxidase‑4 pathway. Therefore, targeting FSP1 to weaken its inhibition of ferroptosis may be a viable strategy for treating refractory cancer. This review aims to clarify the molecular mechanisms underlying ferroptosis, the specific pathway by which FSP1 suppresses ferroptosis and the effect of FSP1 inhibitors on cancer cells. Show less
📄 PDF DOI: 10.3892/or.2024.8764
Fe amino-acid review
2024 · · Oxford University Press · added 2026-04-20
Iron-sulfur (Fe-S) clusters are an essential and ubiquitous class of protein-bound prosthetic centers that are involved in a broad range of biological processes (e.g. respiration, photosynthesis, DNA Show more
Iron-sulfur (Fe-S) clusters are an essential and ubiquitous class of protein-bound prosthetic centers that are involved in a broad range of biological processes (e.g. respiration, photosynthesis, DNA replication and repair and gene regulation) performing a wide range of functions including electron transfer, enzyme catalysis, and sensing. In a general manner, Fe-S clusters can gain or lose electrons through redox reactions, and are highly sensitive to oxidation, notably by small molecules such as oxygen and nitric oxide. The [2Fe-2S] and [4Fe-4S] clusters, the most common Fe-S cofactors, are typically coordinated by four amino acid side chains from the protein, usually cysteine thiolates, but other residues (e.g. histidine, aspartic acid) can also be found. While diversity in cluster coordination ensures the functional variety of the Fe-S clusters, the lack of conserved motifs makes new Fe-S protein identification challenging especially when the Fe-S cluster is also shared between two proteins as observed in several dimeric transcriptional regulators and in the mitoribosome. Thanks to the recent development of in cellulo, in vitro, and in silico approaches, new Fe-S proteins are still regularly identified, highlighting the functional diversity of this class of proteins. In this review, we will present three main functions of the Fe-S clusters and explain the difficulties encountered to identify Fe-S proteins and methods that have been employed to overcome these issues. Show less
📄 PDF DOI: 10.1093/mtomcs/mfae025
Fe amino-acid
2024 · · National Academy of Sciences · added 2026-04-20
The current "consensus" order in which amino acids were added to the genetic code is based on potentially biased criteria, such as the absence of sulfur-containing amino acids from the Urey-Miller exp Show more
The current "consensus" order in which amino acids were added to the genetic code is based on potentially biased criteria, such as the absence of sulfur-containing amino acids from the Urey-Miller experiment which lacked sulfur. More broadly, abiotic abundance might not reflect biotic abundance in the organisms in which the genetic code evolved. Here, we instead identify which protein domains date to the last universal common ancestor (LUCA) and then infer the order of recruitment from deviations of their ancestrally reconstructed amino acid frequencies from the still-ancient post-LUCA controls. We find that smaller amino acids were added to the code earlier, with no additional predictive power in the previous consensus order. Metal-binding (cysteine and histidine) and sulfur-containing (cysteine and methionine) amino acids were added to the genetic code much earlier than previously thought. Methionine and histidine were added to the code earlier than expected from their molecular weights and glutamine later. Early methionine availability is compatible with inferred early use of S-adenosylmethionine and early histidine with its purine-like structure and the demand for metal binding. Even more ancient protein sequences-those that had already diversified into multiple distinct copies prior to LUCA-have significantly higher frequencies of aromatic amino acids (tryptophan, tyrosine, phenylalanine, and histidine) and lower frequencies of valine and glutamic acid than single-copy LUCA sequences. If at least some of these sequences predate the current code, then their distinct enrichment patterns provide hints about earlier, alternative genetic codes. Show less
📄 PDF DOI: 10.1073/pnas.2410311121
amino-acid
Jason Rodencal, Nathan Kim, Andrew He +9 more · 2024 · Cell chemical biology · Elsevier · added 2026-04-20
Ferroptosis is a non-apoptotic form of cell death that can be triggered by inhibiting the system xc- cystine/glutamate antiporter or the phospholipid hydroperoxidase glutathione peroxidase 4 (GPX4). W Show more
Ferroptosis is a non-apoptotic form of cell death that can be triggered by inhibiting the system xc- cystine/glutamate antiporter or the phospholipid hydroperoxidase glutathione peroxidase 4 (GPX4). We have investigated how cell cycle arrest caused by stabilization of p53 or inhibition of cyclin-dependent kinase 4/6 (CDK4/6) impacts ferroptosis sensitivity. Here, we show that cell cycle arrest can enhance sensitivity to ferroptosis induced by covalent GPX4 inhibitors (GPX4i) but not system xc- inhibitors. Greater sensitivity to GPX4i is associated with increased levels of oxidizable polyunsaturated fatty acid-containing phospholipids (PUFA-PLs). Higher PUFA-PL abundance upon cell cycle arrest involves reduced expression of membrane-bound O-acyltransferase domain-containing 1 (MBOAT1) and epithelial membrane protein 2 (EMP2). A candidate orally bioavailable GPX4 inhibitor increases lipid peroxidation and shrinks tumor volumes when combined with a CDK4/6 inhibitor. Thus, cell cycle arrest may make certain cancer cells more susceptible to ferroptosis in vivo. Show less
📄 PDF DOI: 10.1016/j.chembiol.2023.10.011
Fe amino-acid
Ivan I. Fedorov, Fedorov, Ivan I., Julia A. Bubis +15 more · 2024 · Springer Berlin Heidelberg · Springer · added 2026-04-20
Advances in high-throughput high-resolution mass spectrometry and the development of thermal proteome profiling approach (TPP) have made it possible to accelerate a drug target search. Since its intro Show more
Advances in high-throughput high-resolution mass spectrometry and the development of thermal proteome profiling approach (TPP) have made it possible to accelerate a drug target search. Since its introduction in 2014, TPP quickly became a method of choice in chemical proteomics for identifying drug-to-protein interactions on a proteome-wide scale and mapping the pathways of these interactions, thus further elucidating the unknown mechanisms of action of a drug under study. However, the current TPP implementations based on tandem mass spectrometry (MS/MS), associated with employing lengthy peptide separation protocols and expensive labeling techniques for sample multiplexing, limit the scaling of this approach for the ever growing variety of drug-to-proteomes. A variety of ultrafast proteomics methods have been developed in the last couple of years. Among them, DirectMS1 provides MS/MS-free quantitative proteome-wide analysis in 5-min time scale, thus opening the way for sample-hungry applications, such as TPP. In this work, we demonstrate the first implementation of the TPP approach using the ultrafast proteome-wide analysis based on DirectMS1. Using a drug topotecan, which is a known topoisomerase I (TOP1) inhibitor, the feasibility of the method for identifying drug targets at the whole proteome level was demonstrated for an ovarian cancer cell line. Graphical Abstract Show less
no PDF DOI: 10.1007/s00216-024-05330-9
amino-acid
Ana M Añazco-Guenkova, Borja Miguel-López, Óscar Monteagudo-García +2 more · 2024 · NAR cancer · Oxford University Press · added 2026-04-20
Recent advancements have illuminated the critical role of RNA modifications in post-transcriptional regulation, shaping the landscape of gene expression. This review explores how tRNA modifications em Show more
Recent advancements have illuminated the critical role of RNA modifications in post-transcriptional regulation, shaping the landscape of gene expression. This review explores how tRNA modifications emerge as critical players, fine-tuning functionalities that not only maintain the fidelity of protein synthesis but also dictate gene expression and translation profiles. Highlighting their dysregulation as a common denominator in various cancers, we systematically investigate the intersection of both cytosolic and mitochondrial tRNA modifications with cancer biology. These modifications impact key processes such as cell proliferation, tumorigenesis, migration, metastasis, bioenergetics and the modulation of the tumor immune microenvironment. The recurrence of altered tRNA modification patterns across different cancer types underscores their significance in cancer development, proposing them as potential biomarkers and as actionable targets to disrupt tumorigenic processes, offering new avenues for precision medicine in the battle against cancer. Show less
no PDF DOI: 10.1093/narcan/zcae012
amino-acid mitochondria review synthesis
Liu H, Negoita F, Brook M +2 more · 2024 · Essays in Biochemistry · added 2026-04-20
Hydrogen sulfide (H2S) played a pivotal role in the early evolution of life on Earth before the predominance of atmospheric oxygen. The legacy of a persistent role for H2S in life's processes recently Show more
Hydrogen sulfide (H2S) played a pivotal role in the early evolution of life on Earth before the predominance of atmospheric oxygen. The legacy of a persistent role for H2S in life's processes recently emerged through its discovery in modern biochemistry as an endogenous cellular signalling modulator involved in numerous biological processes. One major mechanism through which H2S signals is protein cysteine persulfidation, an oxidative post-translational modification. In recent years, chemoproteomic technologies have been developed to allow the global scanning of protein persulfidation targets in mammalian cells and tissues, providing a powerful tool to elucidate the broader impact of altered H2S in organismal physiological health and human disease states. While hundreds of proteins were confirmed to be persulfidated by global persulfidome methodologies, the targeting of specific proteins of interest and the investigation of further mechanistic studies are still underdeveloped due to a lack of stringent specificity of the methods and the inherent instability of persulfides. This review provides an overview of the processes of endogenous H2S production, oxidation, and signalling and highlights the application and limitations of current persulfidation labelling approaches for investigation of this important evolutionarily conserved biological switch for protein function. Show less
📄 PDF DOI: 10.1042/EBC20230095
amino-acid review
Nada H, Choi Y, Kim S +3 more · 2024 · Signal transduction and targeted therapy · Nature · added 2026-04-20
Protein-protein interactions (PPIs) are fundamental to cellular signaling and transduction which marks them as attractive therapeutic drug development targets. What were once considered to be undrugga Show more
Protein-protein interactions (PPIs) are fundamental to cellular signaling and transduction which marks them as attractive therapeutic drug development targets. What were once considered to be undruggable targets have become increasingly feasible due to the progress that has been made over the last two decades and the rapid technological advances. This work explores the influence of technological innovations on PPI research and development. Additionally, the diverse strategies for discovering, modulating, and characterizing PPIs and their corresponding modulators are examined with the aim of presenting a streamlined pipeline for advancing PPI-targeted therapeutics. By showcasing carefully selected case studies in PPI modulator discovery and development, we aim to illustrate the efficacy of various strategies for identifying, optimizing, and overcoming challenges associated with PPI modulator design. The valuable lessons and insights gained from the identification, optimization, and approval of PPI modulators are discussed with the aim of demonstrating that PPI modulators have transitioned beyond early-stage drug discovery and now represent a prime opportunity with significant potential. The selected examples of PPI modulators encompass those developed for cancer, inflammation and immunomodulation, as well as antiviral applications. This perspective aims to establish a foundation for the effective targeting and modulation of PPIs using PPI modulators and pave the way for future drug development. Show less
📄 PDF DOI: 10.1038/s41392-024-02036-3
amino-acid review
Emily G. Caggiano, Caggiano, Emily G., Cullen M. Taniguchi +1 more · 2024 · Springer US · Springer · added 2026-04-20
Pancreatic cancer has an exaggerated dependence on mitochondrial metabolism, but methods to specifically target the mitochondria without off target effects in normal tissues that rely on these organel Show more
Pancreatic cancer has an exaggerated dependence on mitochondrial metabolism, but methods to specifically target the mitochondria without off target effects in normal tissues that rely on these organelles is a significant challenge. The mitochondrial uncoupling protein 2 (UCP2) has potential as a cancer-specific drug target, and thus, we will review the known biology of UCP2 and discuss its potential role in the pathobiology and future therapy of pancreatic cancer. Show less
📄 PDF DOI: 10.1007/s10555-023-10157-4
amino-acid mitochondria review
Li H, Stoltzfus AT, Michel SLJ · 2024 · RSC Chemical Biology · Royal Society of Chemistry · added 2026-04-20
Hydrogen sulfide (H2S) is an endogenous gasotransmitter that signals via persulfidation. There is evidence that the cysteine residues of certain zinc finger (ZF) proteins, a common type of cysteine ri Show more
Hydrogen sulfide (H2S) is an endogenous gasotransmitter that signals via persulfidation. There is evidence that the cysteine residues of certain zinc finger (ZF) proteins, a common type of cysteine rich protein, are modified to persulfides by H2S. To determine how frequently ZF persulfidation occurs in cells and identify the types of ZFs that are persulfidated, persulfide specific proteomics data were evaluated. 22 datasets from 16 studies were analyzed via a meta-analysis approach. Persulfidated ZFs were identified in a range of eukaryotic species, including Homo sapiens, Mus musculus, Rattus norvegicus, Arabidopsis thaliana, and Emiliania huxley (single-celled phytoplankton). The types of ZFs identified for each species encompassed all three common ZF ligand sets (4-cysteine, 3-cysteine-1-histidine, and 2-cysteine-2-hisitidine), indicating that persulfidation of ZFs is broad. Overlap analysis between different species identified several common ZFs. GO and KEGG analysis identified pathway enrichment for ubiquitin-dependent protein catabolic process and viral carcinogenesis. These collective findings support ZF persulfidation as a wide-ranging PTM that impacts all classes of ZFs. Show less
📄 PDF DOI: 10.1039/d3cb00106g
Zn amino-acid
Ying Feng, Feng, Ying, Yang, Zhibo +5 more · 2024 · BioMed Central · BioMed Central · added 2026-04-20
Copper plays vital roles in numerous cellular processes and its imbalance can lead to oxidative stress and dysfunction. Recent research has unveiled a unique form of copper-induced cell death, termed Show more
Copper plays vital roles in numerous cellular processes and its imbalance can lead to oxidative stress and dysfunction. Recent research has unveiled a unique form of copper-induced cell death, termed cuproptosis, which differs from known cell death mechanisms. This process involves the interaction of copper with lipoylated tricarboxylic acid cycle enzymes, causing protein aggregation and cell death. Recently, a growing number of studies have explored the link between cuproptosis and cancer development. This review comprehensively examines the systemic and cellular metabolism of copper, including tumor-related signaling pathways influenced by copper. It delves into the discovery and mechanisms of cuproptosis and its connection to various cancers. Additionally, the review suggests potential cancer treatments using copper ionophores that induce cuproptosis, in combination with small molecule drugs, for precision therapy in specific cancer types. Show less
📄 PDF DOI: 10.1186/s12964-024-01625-7
Cu ROS amino-acid review
Tripti Mishra, Navneet Dubey, Sudipta Basu · 2024 · Organic & Biomolecular Chemistry · Royal Society of Chemistry · added 2026-04-20
The endoplasmic reticulum plays an important role in maintaining the protein homeostasis of cells as well as regulating Ca2+ storage. An increased load of unfolded proteins in the endoplasmic Show more
The endoplasmic reticulum plays an important role in maintaining the protein homeostasis of cells as well as regulating Ca2+ storage. An increased load of unfolded proteins in the endoplasmic reticulum due to alterations in the cell's metabolic pathway leads to the activation of the unfolded protein response, also known as ER stress. ER stress plays a major role in maintaining the growth and survival of various cancer cells, but persistent ER stress can also lead to cell death and hence can be a therapeutic pathway in the treatment of cancer. In this review, we focus on different types of small molecules that impair different ER stress sensors, the protein degradation machinery, and chaperone proteins. We also review the metal complexes and other miscellaneous compounds inducing ER stress through multiple mechanisms. Finally, we discuss the challenges in this emerging area of research and the potential direction of research to overcome them towards next-generation ER-targeted cancer therapy. Show less
no PDF DOI: 10.1039/D4OB01238K
amino-acid coordination-chemistry review
Stephanie Anne Robinson, Jennifer Anne Co, Steven Mark Banik · 2024 · Cell chemical biology · Elsevier · added 2026-04-20
Small molecule molecular glues can nucleate protein complexes and rewire interactomes. Molecular glues are widely used as probes for understanding functional proximity at a systems level, and the pote Show more
Small molecule molecular glues can nucleate protein complexes and rewire interactomes. Molecular glues are widely used as probes for understanding functional proximity at a systems level, and the potential to instigate event-driven pharmacology has motivated their application as therapeutics. Despite advantages such as cell permeability and the potential for low off-target activity, glues are still rare when compared to canonical inhibitors in therapeutic development. Their often simple structure and specific ability to reshape protein-protein interactions pose several challenges for widespread, designer applications. Molecular glue discovery and design campaigns can find inspiration from the fields of synthetic biology and biophysics to mine chemical libraries for glue-like molecules. Show less
no PDF DOI: 10.1016/j.chembiol.2024.04.001
amino-acid
Tayler D. Prieto Otoya, Kane T. McQuaid, Christine J. Cardin · 2024 · Medicinal Chemistry Research · Springer · added 2026-04-20
AbstractG-quadruplex DNA secondary structures are formed in guanine-rich sequences and have been found to play an important role in regulating different biological processes. Indeed, guanine-rich sequ Show more
AbstractG-quadruplex DNA secondary structures are formed in guanine-rich sequences and have been found to play an important role in regulating different biological processes. Indeed, guanine-rich sequences with the potential to form G-quadruplexes are present in different regions in the human genome, such as telomeres and the promoter region of different genes, including oncogene promoters. Thus, the rational design of small molecules capable of interacting, stabilising or damaging with high specificity these secondary structures represents an important strategy for the development of potent anticancer drugs. In this review, we highlight the interaction between G-quadruplex structures and their ligands, specifically emphasising the role of metal complexes. We provide detailed structural insight into the binding modes of metal complex-G-quadruplex interaction by analysing 18 sets of coordinates from X-ray and NMR currently available in the Protein Data Bank (PDB), with a primary focus on X-ray structural data. Show less
📄 PDF DOI: 10.1007/s00044-024-03309-w
NMR X-ray amino-acid anticancer coordination-chemistry review
C. Crivelli, S. Garcia-Madrona, M. Gil-Minguez +428 more · 2024 · Frontiers in Neuroscience · Frontiers · added 2026-04-20
C. Crivelli, S. Garcia-Madrona, M. Gil-Minguez, R. Lujan, A. Almeida, S. Moncada, J. P. Bolanos, C. Angebault, J. Fauconnier, S. Patergnani, J. Rieusset, A. Danese, C. A. Affortit, A. Ardalan, S. Sowlati-Hashjin, H. Oduwoye, S. O. Uwumarenogie, M. Karttunen, M. D. Smith, A. Atlante, G. Amadoro, V. Latina, D. Valenti, M. Belanger, I. Allaman, P. J. Magistretti, K. F. Bell, B. Al-Mubarak, J. H. Fowler, P. S. Baxter, K. Gupta, T. Tsujita, A. M. Bertholet, A. M. Natale, P. Bisignano, J. Suzuki, A. Fedorenko, J. Hamilton, C. Bienboire-Frosini, D. Wang, M. Marcet-Rius, D. Villanueva-Garcia, A. Gazzano, A. Dominguez-Oliva, M. Bienengraeber, K. S. Echtay, M. Klingenberg, C. Bionda, J. Portoukalian, D. Schmitt, C. Rodriguez-Lafrasse, D. Ardail, M. Bozluolcay, G. Andican, S. Firtina, G. Erkol, D. Konukoglu, R. D. Burgoyne, D. A. Butterfield, B. Halliwell, M. Cater, S. M. Holter, K. A. Chamberlain, N. Huang, Y. Xie, F. LiCausi, S. Li, Y. Li, S. L. Chan, D. Liu, G. A. Kyriazis, P. Bagsiyao, X. Ouyang, M. P. Mattson, W. Chen, J. Yang, S. Chen, H. Xiang, H. Liu, D. Lin, Z. Chen, C. Zhong, I. Cho, G. J. Hwang, J. H. Cho, H. O. Song, H. E. Ji, S. Yang, A. C. Chu, P. W. Ho, K. H. Kwok, J. W. Ho, K. H. Chan, H. F. Liu, E. H. Corder, A. M. Saunders, W. J. Strittmatter, D. E. Schmechel, P. C. Gaskell, G. W. Small, S. M. Crivelli, Z. Quadri, H. J. Vekaria, Z. Zhu, P. Tripathi, A. Elsherbini, J. Cummings, Y. Zhou, G. Lee, K. Zhong, J. Fonseca, F. Cheng, C. H. Davis, K. Y. Kim, E. A. Bushong, E. A. Mills, D. Boassa, T. Shih, S. M. de la Monte, J. R. Wands, L. E. de Vries, A. Jongejan, J. Monteiro Fortes, R. Balesar, A. J. M. Rozemuller, P. D. Moerland, G. A. Dienel, D. L. Rothman, R. Domingues, C. Pereira, M. T. Cruz, A. Silva, R. Dringen, J. M. Gutterer, J. Hirrlinger, H. H. Hoepken, T. Minich, C. Ruedig, A. Lajtha, G. E. Gibson, R. H. Du, F. F. Wu, M. Lu, X. D. Shu, J. H. Ding, G. Wu, E. Winkler, J. Fortea, J. Pegueroles, D. Alcolea, O. Belbin, O. Dols-Icardo, L. Vaque-Alcazar, P. Garcia-Nogales, K. D. Garlid, M. Jaburek, P. Jezek, D. E. Orosz, M. Modriansky, S. Vassanelli, K. N. Green, H. Khashwji, T. Estrada, F. M. LaFerla, J. Grundlingh, P. I. Dargan, M. El-Zanfaly, D. M. Wood, A. Gustavsson, N. Norton, T. Fast, L. Frolich, J. Georges, D. Holzapfel, J. N. Guzman, J. Sanchez-Padilla, D. Wokosin, J. Kondapalli, E. Ilijic, P. T. Schumacker, A. Habas, J. Hahn, X. Wang, M. Margeta, P. Hanak, K. Hayakawa, E. Esposito, Y. Terasaki, Y. Liu, C. Xing, A. Herrero-Mendez, E. Fernandez, C. Maestre, D. H. So, Z. H. Tse, H. M. Tse, D. C. Yiu, W. Y. Zhang, T. Hoang, M. Kuljanin, M. Jelokhani-Niaraki, K. A. Hogan, C. C. S. Chini, E. N. Chini, N. Hu, Y. Fu, W. F. Li, X. R. Yang, M. Cao, F. F. Li, S. G. Huang, M. O. Isei, M. Crockett, E. Chen, J. Rodwell-Bullock, T. Caroll, P. A. Girardi, M. V. Ivanova, F. R. McSorley, G. Krnac, H. T. Jacobs, D. Jiang, H. Lu, D. Jimenez-Blasco, P. Santofimia-Castano, A. Gonzalez, Y. Jing, Y. Niu, C. Liu, K. Zen, D. Li, J. M. Johnson, A. D. Peterlin, E. Balderas, E. G. Sustarsic, J. A. Maschek, M. J. Lang, S. M. Joksimovic, P. Eggan, Y. Izumi, S. L. Joksimovic, V. Tesic, R. M. Dietz, S. M. Ghodsi, J. A. Heinsbroek, J. E. Orfila, N. Busquet, B. Kaltschmidt, M. Uherek, B. Volk, P. A. Baeuerle, C. Kaltschmidt, Y. Kang, L. Chen, D. Kapogiannis, K. I. Avgerinos, B. M. Kenwood, J. L. Weaver, A. Bajwa, I. K. Poon, F. L. Byrne, B. A. Murrow, E. Klotzsch, A. Smorodchenko, L. Lofler, R. Moldzio, E. Parkinson, G. J. Schutz, N. Kyrtata, H. C. A. Emsley, O. Sparasci, L. M. Parkes, B. R. Dickie, Y. Lee, B. M. Morrison, S. Lengacher, M. H. Farah, P. N. Hoffman, S. A. Liddelow, K. A. Guttenplan, L. E. Clarke, F. C. Bennett, C. J. Bohlen, L. Schirmer, N. C. de Souza-Pinto, J. R. Slevin, R. P. Wersto, M. Zhan, J. Y. Chatton, M. Manczak, M. J. Calkins, P. H. Reddy, W. Mao, X. X. Yu, A. Zhong, W. Li, J. Brush, S. W. Sherwood, A. Montesanto, P. Crocco, M. Anfossi, N. Smirne, G. Puccio, R. Colao, S. Moriguchi, N. Shioda, Y. Yamamoto, H. Tagashira, K. Fukunaga, H. Morton, S. Kshirsagar, E. Orlov, L. E. Bunquin, N. Sawant, L. Boleng, L. Mosconi, R. D. Andrews, D. C. Matthews, T. Y. Nakamura, S. Nakao, S. Wakabayashi, K. F. Neumann, L. Rojo, L. P. Navarrete, G. Farias, P. Reyes, R. B. Maccioni, D. G. Nicholls, S. Oddo, A. Caccamo, J. D. Shepherd, M. P. Murphy, T. E. Golde, R. Kayed, D. M. A. Oliver, W. R. Pearson, L. Pellerin, A. K. Bouzier-Sore, A. Aubert, S. Serres, M. Merle, R. Costalat, H. Perreten Lambert, M. Zenger, G. Azarias, R. J. Perry, D. Zhang, X. M. Zhang, J. L. Boyer, G. I. Shulman, C. Petersen, M. D. Nielsen, E. S. Andersen, A. L. Basse, M. S. Isidor, L. K. Markussen, T. Philips, J. D. Rothstein, C. Poetschke, J. Duda, J. Benkert, E. Dragicevic, T. P. Snutch, J. Striessnig, J. A. Pradeepkiran, R. A. Rice, N. C. Berchtold, C. W. Cotman, N. Rosenberg, M. Reva, F. Binda, L. Restivo, P. Depierre, J. Puyal, J. J. Ruprecht, E. R. S. Kunji, A. S. Saab, I. D. Tzvetanova, K. A. Nave, I. D. Tzvetavona, A. Trevisiol, S. Baltan, P. Dibaj, K. Kusch, A. Serrano-Pozo, Z. Li, A. Noori, H. N. Nguyen, A. Mezlini, L. Li, M. Sheridan, B. Ogretmen, C. Simons, N. Deuter, O. Pongs, T. Schneider, A. Rupprecht, I. Sarilova, O. Ninnemann, A. U. Brauer, K. Franke, G. E. Stutzmann, I. Smith, I. Parker, R. H. Swerdlow, R. Thangavel, D. Kempuraj, S. Zaheer, S. Raikwar, M. E. Ahmed, G. P. Selvakumar, B. Vaccari-Cardoso, M. Antipina, A. G. Teschemacher, S. Kasparov, B. R. Villa, A. G. George, T. E. Shutt, P. G. Sullivan, J. M. Rho, G. C. Teskey, A. A. Willette, B. B. Bendlin, E. J. Starks, A. C. Birdsill, S. C. Johnson, B. T. Christian, S. Q. Xu, X. D. Yang, Y. W. Qian, Q. Xiao Show less
The brain’s high demand for energy necessitates tightly regulated metabolic pathways to sustain physiological activity. Glucose, the primary energy substrate, undergoes complex metabolic transformatio Show more
The brain’s high demand for energy necessitates tightly regulated metabolic pathways to sustain physiological activity. Glucose, the primary energy substrate, undergoes complex metabolic transformations, with mitochondria playing a central role in ATP production via oxidative phosphorylation. Dysregulation of this metabolic interplay is implicated in Alzheimer’s disease (AD), where compromised glucose metabolism, oxidative stress, and mitochondrial dysfunction contribute to disease progression. This review explores the intricate bioenergetic crosstalk between astrocytes and neurons, highlighting the function of mitochondrial uncoupling proteins (UCPs), particularly UCP4, as important regulators of brain metabolism and neuronal function. Predominantly expressed in the brain, UCP4 reduces the membrane potential in the inner mitochondrial membrane, thereby potentially decreasing the generation of reactive oxygen species. Furthermore, UCP4 mitigates mitochondrial calcium overload and sustains cellular ATP levels through a metabolic shift from mitochondrial respiration to glycolysis. Interestingly, the levels of the neuronal UCPs, UCP2, 4 and 5 are significantly reduced in AD brain tissue and a specific UCP4 variant has been associated to an increased risk of developing AD. Few studies modulating the expression of UCP4 in astrocytes or neurons have highlighted protective effects against neurodegeneration and aging, suggesting that pharmacological strategies aimed at activating UCPs, such as protonophoric uncouplers, hold promise for therapeutic interventions in AD and other neurodegenerative diseases. Despite significant advances, our understanding of UCPs in brain metabolism remains in its early stages, emphasizing the need for further research to unravel their biological functions in the brain and their therapeutic potential. Show less
📄 PDF DOI: 10.3389/fnins.2024.1483708
ROS amino-acid mitochondria review
Martinez-Bernabe T, Pons DG, Oliver J +1 more · 2024 · Biomolecules · MDPI · added 2026-04-20
Oxaliplatin is successfully used on advanced colorectal cancer to eradicate micro-metastasis, whereas its benefits in the early stages of colorectal cancer remains controversial since approximately 30 Show more
Oxaliplatin is successfully used on advanced colorectal cancer to eradicate micro-metastasis, whereas its benefits in the early stages of colorectal cancer remains controversial since approximately 30% of patients experience unexpected relapses. Herein, we evaluate the efficacy of oxidative phosphorylation as a predictive biomarker of oxaliplatin response in colorectal cancer. We found that non-responding patients exhibit low oxidative phosphorylation activity, suggesting a poor prognosis. To reach this conclusion, we analyzed patient samples of individuals treated with oxaliplatin from the GSE83129 dataset, and a set of datasets validated using ROCplotter, selecting them based on their response to the drug. By analyzing multiple oxaliplatin-resistant and -sensitive cell lines, we identified oxidative phosphorylation KEGG pathways as a valuable predictive biomarker of oxaliplatin response with a high area under the curve (AUC = 0.843). Additionally, some oxidative phosphorylation-related biomarkers were validated in primary- and metastatic-derived tumorspheres, confirming the results obtained in silico. The low expression of these biomarkers is clinically relevant, indicating poor prognosis with decreased overall and relapse-free survival. This study proposes using oxidative phosphorylation-related protein expression levels as a predictor of responses to oxaliplatin-based treatments to prevent relapse and enable a more personalized therapy approach. Our results underscore the value of oxidative phosphorylation as a reliable marker for predicting the response to oxaliplatin treatment in colorectal cancer. Show less
📄 PDF DOI: 10.3390/biom14111359
amino-acid
Abdelkader GA, Kim JD · 2024 · Current Drug Targets · Bentham Science · added 2026-04-20
Drug discovery is a complex and expensive procedure involving several timely and costly phases through which new potential pharmaceutical compounds must pass to get approved. One of these critical ste Show more
Drug discovery is a complex and expensive procedure involving several timely and costly phases through which new potential pharmaceutical compounds must pass to get approved. One of these critical steps is the identification and optimization of lead compounds, which has been made more accessible by the introduction of computational methods, including deep learning (DL) techniques. Diverse DL model architectures have been put forward to learn the vast landscape of interaction between proteins and ligands and predict their affinity, helping in the identification of lead compounds. Show less
📄 PDF DOI: 10.2174/0113894501330963240905083020
ML amino-acid
Jiang, Yulang , Sun, Mingyu · 2024 · Frontiers · Frontiers · added 2026-04-20
The non-natriuretic-dependent glutamate/cystine inverse transporter-system Xc-is composed of two protein subunits, SLC7A11 and SLC3A2, with SLC7A11 serving as the primary functional component responsi Show more
The non-natriuretic-dependent glutamate/cystine inverse transporter-system Xc-is composed of two protein subunits, SLC7A11 and SLC3A2, with SLC7A11 serving as the primary functional component responsible for cystine uptake and glutathione biosynthesis. SLC7A11 is implicated in tumor development through its regulation of redox homeostasis, amino acid metabolism, modulation of immune function, and induction of programmed cell death, among other processes relevant to tumorigenesis. In this paper, we summarize the structure and biological functions of SLC7A11, and discuss its potential role in tumor therapy, which provides a new direction for precision and personalized treatment of tumors. Show less
📄 PDF DOI: 10.3389/fimmu.2024.1438807
amino-acid
Yongxia Zhu, Tong Xia, Da-Qian Chen +5 more · 2024 · Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · Elsevier · added 2026-04-20
Drug resistance remains a major challenge in cancer treatment, necessitating the development of novel strategies to overcome it. Protein arginine methyltransferases (PRMTs) are enzymes responsible for Show more
Drug resistance remains a major challenge in cancer treatment, necessitating the development of novel strategies to overcome it. Protein arginine methyltransferases (PRMTs) are enzymes responsible for epigenetic arginine methylation, which regulates various biological and pathological processes, as a result, they are attractive therapeutic targets for overcoming anti-cancer drug resistance. The ongoing development of small molecules targeting PRMTs has resulted in the generation of chemical probes for modulating most PRMTs and facilitated clinical treatment for the most advanced oncology targets, including PRMT1 and PRMT5. In this review, we summarize various mechanisms underlying protein arginine methylation and the roles of specific PRMTs in driving cancer drug resistance. Furthermore, we highlight the potential clinical implications of PRMT inhibitors in decreasing cancer drug resistance. PRMTs promote the formation and maintenance of drug-tolerant cells via several mechanisms, including altered drug efflux transporters, autophagy, DNA damage repair, cancer stem cell-related function, epithelial-mesenchymal transition, and disordered tumor microenvironment. Multiple preclinical and ongoing clinical trials have demonstrated that PRMT inhibitors, particularly PRMT5 inhibitors, can sensitize cancer cells to various anti-cancer drugs, including chemotherapeutic, targeted therapeutic, and immunotherapeutic agents. Combining PRMT inhibitors with existing anti-cancer strategies will be a promising approach for overcoming anti-cancer drug resistance. Furthermore, enhanced knowledge of the complex functions of arginine methylation and PRMTs in drug resistance will guide the future development of PRMT inhibitors and may help identify new clinical indications. Show less
no PDF DOI: 10.1016/j.drup.2023.101016
DNA-binding amino-acid antibacterial anticancer review
Jonathan M Tsai, Radosław P Nowak, Benjamin L Ebert +1 more · 2024 · Nature reviews. Molecular cell biology · Nature · added 2026-04-20
Targeted protein degradation refers to the use of small molecules to induce the selective degradation of proteins. In its most common form, this degradation is achieved through ligand-mediated neo-int Show more
Targeted protein degradation refers to the use of small molecules to induce the selective degradation of proteins. In its most common form, this degradation is achieved through ligand-mediated neo-interactions between ubiquitin E3 ligases - the principal waste disposal machines of a cell - and the protein targets of interest, resulting in ubiquitylation and subsequent proteasomal degradation. Notable advances have been made in biological and mechanistic understanding of serendipitously discovered degraders. This improved understanding and novel chemistry has not only provided clinical proof of concept for targeted protein degradation but has also led to rapid growth of the field, with dozens of investigational drugs in active clinical trials. Two distinct classes of protein degradation therapeutics are being widely explored: bifunctional PROTACs and molecular glue degraders, both of which have their unique advantages and challenges. Here, we review the current landscape of targeted protein degradation approaches and how they have parallels in biological processes. We also outline the ongoing clinical exploration of novel degraders and provide some perspectives on the directions the field might take. Show less
no PDF DOI: 10.1038/s41580-024-00729-9
amino-acid review
Haiping Lin, Yang Luo, Tingyue Gong +5 more · 2024 · Cellular oncology (Dordrecht, Netherlands) · Springer · added 2026-04-20
PURPOSE: Growth differentiating Factor 15 (GDF15) is linked to several cancers, but its effect on chemoresistance in colorectal cancer (CRC) remains unclear. Here, we investigated the role of GDF15 in Show more
PURPOSE: Growth differentiating Factor 15 (GDF15) is linked to several cancers, but its effect on chemoresistance in colorectal cancer (CRC) remains unclear. Here, we investigated the role of GDF15 in the chemotherapeutic response of CRC patients to oxaliplatin (L-OHP). METHODS: GDF15 levels in serum and tumour tissues were detected in CRC patients have received L-OHP-based neoadjuvant chemotherapy. The effects of GDF15 neutralization or GDF15 knockdown on cell proliferation, apoptosis and intracellular reactive oxygen species (ROS) levels were analysed in vitro and in vivo. Co-immunoprecipitation (Co-IP), Chromatin Immunoprecipitation (ChIP) and luciferase reporter assays were used to explore the interaction between GDF15 and Nrf2. RESULTS: In this study, we found that GDF15 alleviates oxidative stress to induce chemoresistance of L-OHP in CRC. Mechanically, GDF15 posttranscriptionally regulates protein stability of Nrf2 through the canonical PI3K/AKT/GSK3β signaling pathway, and in turn, Nrf2 acts as a transcription factor to regulate GDF15 expression to form a positive feedback loop, resulting in the maintenance of redox homeostasis balance in CRC. Furthermore, a positive correlation between GDF15 and Nrf2 was observed in clinical CRC samples, and simultaneous overexpression of both GDF15 and Nrf2 was associated with poor prognosis in CRC patients treated with L-OHP. Simultaneous inhibition of both GDF15 and Nrf2 significantly increases the response to L-OHP in an L-OHP-resistant colorectal cancer cells-derived mouse xenograft model. CONCLUSION: This study identified a novel GDF15-Nrf2 positive feedback loop that drives L-OHP resistance and suggested that the GDF15-Nrf2 axis is a potential therapeutic target for the treatment of L-OHP-resistant CRC. Show less
no PDF DOI: 10.1007/s13402-024-00918-w
Co ROS amino-acid
2024 · Biochemical and Biophysical Research Communications · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.bbrc.2024.150310
amino-acid
Jina Yu, Chunli Yan, Tanmoy Paul +6 more · 2024 · Nature communications · Nature · added 2026-04-20
Nucleotide excision repair (NER) is vital for genome integrity. Yet, our understanding of the complex NER protein machinery remains incomplete. Combining cryo-EM and XL-MS data with AlphaFold2 predict Show more
Nucleotide excision repair (NER) is vital for genome integrity. Yet, our understanding of the complex NER protein machinery remains incomplete. Combining cryo-EM and XL-MS data with AlphaFold2 predictions, we build an integrative model of the NER pre-incision complex(PInC). Here TFIIH serves as a molecular ruler, defining the DNA bubble size and precisely positioning the XPG and XPF nucleases for incision. Using simulations and graph theoretical analyses, we unveil PInC's assembly, global motions, and partitioning into dynamic communities. Remarkably, XPG caps XPD's DNA-binding groove and bridges both junctions of the DNA bubble, suggesting a novel coordination mechanism of PInC's dual incision. XPA rigging interlaces XPF/ERCC1 with RPA, XPD, XPB, and 5' ssDNA, exposing XPA's crucial role in licensing the XPF/ERCC1 incision. Mapping disease mutations onto our models reveals clustering into distinct mechanistic classes, elucidating xeroderma pigmentosum and Cockayne syndrome disease etiology. Show less
📄 PDF DOI: 10.1038/s41467-024-52860-y
DNA-binding amino-acid
Yihang Gao, Chongchong Feng, Jingru Ma +1 more · 2024 · Biochemical pharmacology · Elsevier · added 2026-04-20
Protein Arginine Methyltransferases (PRMTs) are a family of enzymes regulating protein arginine methylation, which is a post-translational modification crucial for various cellular processes. Recent s Show more
Protein Arginine Methyltransferases (PRMTs) are a family of enzymes regulating protein arginine methylation, which is a post-translational modification crucial for various cellular processes. Recent studies have highlighted the mechanistic role of PRMTs in cancer pathogenesis, immunotherapy, and drug resistance. PRMTs are involved in diverse oncogenic processes, including cell proliferation, apoptosis, and metastasis. They exert their effects by methylation of histones, transcription factors, and other regulatory proteins, resulting in altered gene expression patterns. PRMT-mediated histone methylation can lead to aberrant chromatin remodeling and epigenetic changes that drive oncogenesis. Additionally, PRMTs can directly interact with key signaling pathways involved in cancer progression, such as the PI3K/Akt and MAPK pathways, thereby modulating cell survival and proliferation. In the context of cancer immunotherapy, PRMTs have emerged as critical regulators of immune responses. They modulate immune checkpoint molecules, including programmed cell death protein 1 (PD-1), through arginine methylation. Drug resistance is a significant challenge in cancer treatment, and PRMTs have been implicated in this phenomenon. PRMTs can contribute to drug resistance through multiple mechanisms, including the epigenetic regulation of drug efflux pumps, altered DNA damage repair, and modulation of cell survival pathways. In conclusion, PRMTs play critical roles in cancer pathogenesis, immunotherapy, and drug resistance. In this overview, we have endeavored to illuminate the mechanistic intricacies of PRMT-mediated processes. Shedding light on these aspects will offer valuable insights into the fundamental biology of cancer and establish PRMTs as promising therapeutic targets. Show less
no PDF DOI: 10.1016/j.bcp.2024.116048
DNA-binding Pd amino-acid review
Mrnjavac N, Schwander L, Brabender M +1 more · 2024 · Accounts of Chemical Research · ACS Publications · added 2026-04-20
Life is an exergonic chemical reaction. The same was true when the very first cells emerged at life's origin. In order to live, all cells need a source of carbon, energy, and electrons to drive their Show more
Life is an exergonic chemical reaction. The same was true when the very first cells emerged at life's origin. In order to live, all cells need a source of carbon, energy, and electrons to drive their overall reaction network (metabolism). In most cells, these are separate pathways. There is only one biochemical pathway that serves all three needs simultaneously: the acetyl-CoA pathway of CO2 fixation. In the acetyl-CoA pathway, electrons from H2 reduce CO2 to pyruvate for carbon supply, while methane or acetate synthesis are coupled to energy conservation as ATP. This simplicity and thermodynamic favorability prompted Georg Fuchs and Erhard Stupperich to propose in 1985 that the acetyl-CoA pathway might mark the origin of metabolism, at the same time that Steve Ragsdale and Harland Wood were uncovering catalytic roles for Fe, Co, and Ni in the enzymes of the pathway. Subsequent work has provided strong support for those proposals.In the presence of Fe, Co, and Ni in their native metallic state as catalysts, aqueous H2 and CO2 react specifically to formate, acetate, methane, and pyruvate overnight at 100 °C. These metals (and their alloys) thus replace the function of over 120 enzymes required for the conversion of H2 and CO2 to pyruvate via the pathway and its cofactors, an unprecedented set of findings in the study of biochemical evolution. The reactions require alkaline conditions, which promote hydrogen oxidation by proton removal and are naturally generated in serpentinizing (H2-producing) hydrothermal vents. Serpentinizing hydrothermal vents furthermore produce natural deposits of native Fe, Co, Ni, and their alloys. These are precisely the metals that reduce CO2 with H2 in the laboratory; they are also the metals found at the active sites of enzymes in the acetyl-CoA pathway. Iron, cobalt and nickel are relicts of the environments in which metabolism arose, environments that still harbor ancient methane- and acetate-producing autotrophs today. This convergence indicates bedrock-level antiquity for the acetyl-CoA pathway. In acetogens and methanogens growing on H2 as reductant, the acetyl-CoA pathway requires flavin-based electron bifurcation as a source of reduced ferredoxin (a 4Fe4S cluster-containing protein) in order to function. Recent findings show that H2 can reduce the 4Fe4S clusters of ferredoxin in the presence of native iron, uncovering an evolutionary precursor of flavin-based electron bifurcation and suggesting an origin of FeS-dependent electron transfer in proteins. Traditionally discussed as catalysts in early evolution, the most common function of FeS clusters in metabolism is one-electron transfer, also in radical SAM enzymes, a large and ancient enzyme family. The cofactors and active sites in enzymes of the acetyl-CoA pathway uncover chemical antiquity in metabolism involving metals, methyl groups, methyl transfer reactions, cobamides, pterins, GTP, S-adenosylmethionine, radical SAM enzymes, and carbon-metal bonds. The reaction sequence from H2 and CO2 to pyruvate on naturally deposited native metals is maximally simple. It requires neither nitrogen, sulfur, phosphorus, RNA, ion gradients, nor light. Solid-state metal catalysts tether the origin of metabolism to a H2-producing, serpentinizing hydrothermal vent. Show less
📄 PDF DOI: 10.1021/acs.accounts.4c00226
Co Fe Ni amino-acid catalysis synthesis
Clifford F Brunk, Charles R Marshall · 2024 · Life · MDPI · added 2026-04-20
The path from life's origin to the emergence of the eukaryotic cell was long and complex, and as such it is rarely treated in one publication. Here, we offer a sketch of this path, recognizing that th Show more
The path from life's origin to the emergence of the eukaryotic cell was long and complex, and as such it is rarely treated in one publication. Here, we offer a sketch of this path, recognizing that there are points of disagreement and that many transitions are still shrouded in mystery. We assume life developed within microchambers of an alkaline hydrothermal vent system. Initial simple reactions were built into more sophisticated reflexively autocatalytic food-generated networks (RAFs), laying the foundation for life's anastomosing metabolism, and eventually for the origin of RNA, which functioned as a genetic repository and as a catalyst (ribozymes). Eventually, protein synthesis developed, leading to life's biology becoming dominated by enzymes and not ribozymes. Subsequent enzymatic innovation included ATP synthase, which generates ATP, fueled by the proton gradient between the alkaline vent flux and the acidic sea. This gradient was later internalized via the evolution of the electron transport chain, a preadaptation for the subsequent emergence of the vent creatures from their microchamber cradles. Differences between bacteria and archaea suggests cellularization evolved at least twice. Later, the bacterial development of oxidative phosphorylation and the archaeal development of proteins to stabilize its DNA laid the foundation for the merger that led to the formation of eukaryotic cells. Show less
no PDF DOI: 10.3390/life14020226
amino-acid catalysis synthesis
Jang, Yaan J., Qin, Qi-Qi, Huang, Si-Yu +3 more · 2024 · Nature Publishing Group · Nature · added 2026-04-20
Understanding protein function is vital for biomedicine. Here, authors develop a method using statistics-informed graph networks to predict functions from sequences. The method integrates evolutionary Show more
Understanding protein function is vital for biomedicine. Here, authors develop a method using statistics-informed graph networks to predict functions from sequences. The method integrates evolutionary couplings and residue communities to improve the accuracy of function annotations for proteins. Show less
📄 PDF DOI: 10.1038/s41467-024-50955-0
amino-acid
Thordur Hendrickson-Rebizant, Sadhana R. N. Sudhakar, Michael J. Rowley +3 more · 2024 · Journal of Medicinal Chemistry · ACS Publications · added 2026-04-20
Protein arginine N-methyltransferases (PRMT) are a family of S-adenosyl-l-methionine (SAM)-dependent enzymes that transfer methyl-groups to the ω-N of arginyl residues in proteins. PRMTs Show more
Protein arginine N-methyltransferases (PRMT) are a family of S-adenosyl-l-methionine (SAM)-dependent enzymes that transfer methyl-groups to the ω-N of arginyl residues in proteins. PRMTs are involved in regulating gene expression, RNA splicing, and other activities. PRMT1 is responsible for most cellular arginine methylation, and its dysregulation is involved in many cancers. Accordingly, many groups have targeted PRMT1 using small molecules and peptide inhibitors. In this Perspective, we discuss the structure and function of selected peptide and small molecule inhibitors of PRMT1. We examine inhibitors that target the substrate arginyl peptide, SAM, or both binding sites, and the type of inhibition that results. Small molecules, and peptides that are bisubstrate, and/or PRMT transition state mimic inhibitors as well as inhibitors that alkylate PRMTs will be discussed. We define a structure-activity relationship for the aromatic/heteroaromatic N-methylethylenediamine inhibitors of PRMT1 and review current progress of PRMT1 inhibitors in clinical trials. Show less
no PDF DOI: 10.1021/acs.jmedchem.4c00490
amino-acid