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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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4728 articles
2025 · Journal of Inorganic Biochemistry · Elsevier · added 2026-05-21
TLDR: Investigation of anticancer and antitrypanosomatid activities of eight monoanionic metal bis(dithiolene) complexes showed that [Ph4P][Pt(tBu-thiazdt)2] and [Ph4P][Pd(tBu-thiazdt)2] complexes mig Show more
TLDR: Investigation of anticancer and antitrypanosomatid activities of eight monoanionic metal bis(dithiolene) complexes showed that [Ph4P][Pt(tBu-thiazdt)2] and [Ph4P][Pd(tBu-thiazdt)2] complexes might have potential as novel anticancer and antitrypanosomatid agents as alternatives to current therapeutics. Show less
no PDF DOI: 10.1016/j.jinorgbio.2024.112788
Alan Herbert, Oleksandr Cherednichenko, Terry P Lybrand +2 more · 2025 · International journal of molecular sciences · MDPI · added 2026-04-20
The double-stranded RNA editing enzyme ADAR1 connects two forms of genetic programming, one based on codons and the other on flipons. ADAR1 recodes codons in pre-mRNA by deaminating adenosine to form Show more
The double-stranded RNA editing enzyme ADAR1 connects two forms of genetic programming, one based on codons and the other on flipons. ADAR1 recodes codons in pre-mRNA by deaminating adenosine to form inosine, which is translated as guanosine. ADAR1 also plays essential roles in the immune defense against viruses and cancers by recognizing left-handed Z-DNA and Z-RNA (collectively called ZNA). Here, we review various aspects of ADAR1 biology, starting with codons and progressing to flipons. ADAR1 has two major isoforms, with the p110 protein lacking the p150 Zα domain that binds ZNAs with high affinity. The p150 isoform is induced by interferon and targets ALU inverted repeats, a class of endogenous retroelement that promotes their transcription and retrotransposition by incorporating Z-flipons that encode ZNAs and G-flipons that form G-quadruplexes (GQ). Both p150 and p110 include the Zβ domain that is related to Zα but does not bind ZNAs. Here we report strong evidence that Zβ binds the GQ that are formed co-transcriptionally by ALU repeats and within R-loops. By binding GQ, ADAR1 suppresses ALU-mediated alternative splicing, generates most of the reported nonsynonymous edits and promotes R-loop resolution. The recognition of the various alternative nucleic acid conformations by ADAR1 connects genetic programming by flipons with the encoding of information by codons. The findings suggest that incorporating G-flipons into editmers might improve the therapeutic editing efficacy of ADAR1. Show less
no PDF DOI: 10.3390/ijms26062422
Co amino-acid review
Lev Krasnov, Dmitry Malikov, Marina Kiseleva +3 more · 2025 · · added 2026-04-20
no PDF DOI: 10.26434/chemrxiv-2025-1nqvm-v2
ML anticancer coordination-chemistry
L. Volpicella, G. Punzi, V. Porcelli +494 more · 2025 · Biomolecules · MDPI · added 2026-04-20
L. Volpicella, G. Punzi, V. Porcelli, N. Gambacorta, L. Trisolini, C.L. Pierri, A. De Grassi, D.M. Muoio, R.C. Noland, J.P. Kovalik, S.E. Seiler, M.N. Davies, K.L. Debalsi, O.R. Ilkayeva, R.D. Stevens, I. Kheterpal, J. Zhang, J. Hsu, N. Fatuzzo, N. Weng, W. Michno, W. Dong, M. Kienle, Y. Dai, A. Pasca, M. Abu-Remaileh, N. Rasgon, R.R. Ramsay, R.D. Gandour, F.R. van der Leij, M.A.K. Westin, M.C. Hunt, S.E.H. Alexson, O.J. Martin, D.H. Slentz, J. An, C.B. Newgard, T.R. Koves, K.H. Fisher-Wellman, C.-T. Lin, T.E. Ryan, L.R. Reese, L.A.A. Gilliam, B.L. Cathey, D.S. Lark, C.D. Smith, P.D. Neufer, J.R. Gooding, K.E. Wong, A.H. Wittmann, L. Lindeboom, L. Kjalarsdottir, J.W. Thompson, L.G. Dubois, M.J. Brosnan, T.P. Rolph, P.A. Grimsrud, V. Mezhnina, R. Pearce, A. Poe, N. Velingkaar, A. Astafev, O.P. Ebeigbe, K. Makwana, Y. Sandlers, R.V. Kondratov, M.A.B. Melone, A. Valentino, S. Margarucci, U. Galderisi, A. Giordano, G. Peluso, N.D. Amoedo, S. Sarlak, E. Obre, P. Esteves, H. Bégueret, Y. Kieffer, B. Rousseau, A. Dupis, J. Izotte, N. Bellance, N. Giangregorio, A. Tonazzi, G. Incampo, V. Tragni, C. Indiveri, G. Fiermonte, E. Paradies, S. Todisco, C.M.T. Marobbio, F. Palmieri, T. Haitina, J. Lindblom, T. Renström, R. Fredriksson, A. Vozza, F. De Leonardis, G. Parisi, F.M. Lasorsa, L. Muto, L. Capobianco, G. Agrimi, A. Russo, P. Scarcia, V.A. Zammit, G. Jogl, L. Tong, A.C. Rufer, R. Thoma, M. Hennig, Y.S. Hsiao, I. Lasheras-Otero, I. Feliu, A. Maillo, H. Moreno, M. Redondo-Muñoz, P. Aldaz, A. Bocanegra, A. Olias-Arjona, F. Lecanda, J. Fernandez-Irigoyen, B. Musio, V. Pesce, M.M. Cavalluzzi, G. Petrosillo, G. La Piana, M.N. Sgobba, N. Schlosserová, L. Cafferati Beltrame, R. Di Lorenzo, G. Primiano, A. Tummolo, G. Paterno, R. Gorgoglione, M. Volpicella, V. Iacobazzi, V. Infantino, P. Convertini, L. Console, C. Lanave, C. Saccone, S.M. Houten, R.J.A. Wanders, D. Lacombe, R. Rossignol, C. Caggese, D. D’Elia, G. Pesole, M. Montaruli, L. Laera, F. Colella, V. Scaglione, S. Barile, A.L. Francavilla, D.I. De Luca, X. Wang, C. Yang, C. Huang, W. Wang, G. Chen, B. Bao, Y. Cheng, M. Tian, J. Song, L. Zheng, Q. Tong, R. Vishwa, B. BharathwajChetty, S. Girisa, B.S. Aswani, M.S. Alqahtani, M. Abbas, M. Hegde, A.B. Kunnumakkara, L.T.M. Le, J.R. Thompson, P.X. Dang, J. Bhandari, A. Alam, K. Zacharowski, B. Blackburn, C. Thiemermann, R. Shi, Y. Zhang, Y. Shi, S. Shi, L. Jiang, K. Jaudzems, J. Kuka, A. Gutsaits, K. Zinovjevs, I. Kalvinsh, E. Liepinsh, M. Dambrova, M. Tsoko, F. Beauseigneur, J. Gresti, I. Niot, J. Demarquoy, J. Boichot, J. Bezard, L. Rochette, P. Clouet, M. Kuwajima, H. Harashima, M. Hayashi, S. Ise, M. Sei, K.-m. Lu, H. Kiwada, Y. Sugiyama, K. Shima, D.L. Jenkins, O.W. Griffith, L.T. Izzo, S. Trefely, C. Demetriadou, J.M. Drummond, T. Mizukami, N. Kuprasertkul, A.T. Farria, P.T.T. Nguyen, N. Murali, L. Reich, H. Mao, A. Angelini, S. Li, G. Wang, L. Li, C. Patterson, X. Pi, L. Xie, A.G. Cordente, E. López-Viñas, M.I. Vázquez, P. Gómez-Puertas, G. Asins, D. Serra, F.G. Hegardt, L. Govindasamy, T. Kukar, W. Lian, B. Pedersen, Y. Gu, M. Agbandje-McKenna, S. Jin, R. McKenna, D. Wu, A.R. Kim, R.J. Rylett, B.H. Shilton, Y. Cai, C.N. Cronin, A.G. Engel, K. Ohno, L.B. Hersh, D.W. Rodgers, J.D. McGarry, N.F. Brown, A. Mattevi, A.M. Waterhouse, J.B. Procter, D.M.A. Martin, M. Clamp, G.J. Barton, M.A. Larkin, G. Blackshields, N.P. Brown, R. Chenna, P.A. McGettigan, H. McWilliam, F. Valentin, I.M. Wallace, A. Wilm, R. Lopez, J.F. Chase, S. Violante, L. Ijlst, J. Ruiter, J. Koster, H. van Lenthe, M. Duran, I.T. de Almeida, F.V. Ventura, P.K. Tubbs, M. Morillas, B. Rubí, J. Clotet, J. Ariño, A. Valencia, K. Kashfi, R.L. Mynatt, E.A. Park, G.A. Cook, R.J. Wanders, W.L. Delano, S. Bromberg, A.C. Wallace, R.A. Laskowski, J.M. Thornton, T.R. Altamimi, P.D. Thomas, A.M. Darwesh, N. Fillmore, M.U. Mahmoud, L. Zhang, A. Gupta, R. Al Batran, J.M. Seubert, G.D. Lopaschuk, M.A. Schroeder, H.J. Atherton, M.S. Dodd, P. Lee, L.E. Cochlin, G.K. Radda, K. Clarke, D.J. Tyler, A. Pop, M. Williams, E.A. Struys, M. Monné, E.E.W. Jansen, W.A. Kanhai, M.R.F. Ojeda, A. Tessa, C. Dionisi-Vici, M.R. Baumgartner, Y.H. Chien, C. Loguercio, H.O. De Baulny, M.-C. Nassogne, M. Schiff, R. Wibom, V. Töhönen, M. Barbaro, F.H. Sterky, T. Kucinski, K. Naess, M. Jonsson, S. Edvardson, C. Jalas, D. Soiferman, Y. Kellner, A. Shaag, S.H. Korman, N.D. Fraenkel, M. Ruggiu, M.F. Hossain, A. Menga, A. Castegna, F. Invernizzi, S. Baratta, R. Pons, W. Chung, B. Garavaglia, A. Ribes, R. Parini, M.D. Huertas, M.A. Shahroor, I. Dweikat, M.A. Di Noia, M. Gur, G. Agostino, T. Rinaldi, G. Gasparre, A. Onofrio, G. Redavid, A. Santarsiero, N.C. Williams, D. Iacobazzi, G. De Stefano, L.A.J. O’Neill, X. Li, F. Zhao, Z. Zhao, X. Zhao, H. Meng, D. Zhang, S. Zhao, M. Ding, C. Amat di San Filippo, M.R.G. Taylor, L. Mestroni, L.D. Botto, N. Longo, K. Gotvaldová, J. Špačková, K. Smolková, G. Benard, F. Furt, H. Begueret, E. Passerieux, J.P. Delage, J.M. Baste, P. Moreau, J. Novotný, K. Baslarová, P. Ježek, L. Rossmeislová, J. Gojda, E.M. Palmieri, R. Holewinski, C.L. McGinity, N. Maio, J.M. Weiss, K.M. Miranda, T.A. Rouault, T. Andresson, S. Sharma, X. Sun, S. Agarwal, R. Rafikov, S. Dasarathy, S. Kumar, S.M. Black, J.M. Rutkowsky, T.A. Knotts, K.D. Ono-Moore, C.S. McCoin, S. Huang, D. Schneider, S. Singh, S.H. Adams, D.H. Hwang, L. Amadori, C. Calcagno, D.M. Fernandez, S. Koplev, N. Fernandez, R. Kaur, P. Mury, N.S. Khan, S. Sajja, R. Shamailova, A. Ta-Shma, P. Stepensky, S. Zenvirt, O. Elpeleg, A.J.J.T. Rein, T. Hu, C.H. Liu, M. Lei, Q. Zeng, H. Tang, N. Zhang, C. Garcia, C.J. Andersen, C.N. Blesso, M. Wang, K. Wang, X. Liao, H. Hu, L. Chen, L. Meng, W. Gao, Q. Li, G. Ghilardi, L. Paruzzo, J. Svoboda, E.A. Chong, A.A. Shestov, I.J. Cohen, G. Gabrielli, S.D. Nasta, P. Porazzi, J.B. Baell, J.W.M. Nissink, N. Wiedemar, D.A. Hauser, P. Mäser, M. Favia, A. Muscella, L. Guerra, C. Jose, T. Zhao, X. Mu, Q. You, A.D.R. Campos-Contreras, M. Díaz-Muñoz, F.G. Vázquez-Cuevas, L. Nicassio, F. Fracasso, G. Sirago, C. Musicco, A. Picca, E. Marzetti, R. Calvani, P. Cantatore, M.N. Gadaleta, P. Cassano, A.M.S. Lezza, V. Capelli, A.M. Timperio, M. Calvani, L. Mosconi Show less
Carnitine O-acetyltransferase (CRAT) is a key mitochondrial enzyme involved in maintaining metabolic homeostasis by mediating the reversible transfer of acetyl groups between acetyl-CoA and carnitine. Show more
Carnitine O-acetyltransferase (CRAT) is a key mitochondrial enzyme involved in maintaining metabolic homeostasis by mediating the reversible transfer of acetyl groups between acetyl-CoA and carnitine. This enzymatic activity ensures the optimal functioning of mitochondrial carbon flux by preventing acetyl-CoA accumulation, buffering metabolic flexibility, and regulating the balance between fatty acid and glucose oxidation. CRAT’s interplay with the mitochondrial carnitine shuttle, involving carnitine palmitoyltransferases (CPT1 and CPT2) and the carnitine carrier (SLC25A20), underscores its critical role in energy metabolism. Emerging evidence highlights the structural and functional diversity of CRAT and structurally related acetyltransferases across cellular compartments, illustrating their coordinated role in lipid metabolism, amino acid catabolism, and mitochondrial bioenergetics. Moreover, the structural insights into CRAT have paved the way for understanding its regulation and identifying potential modulators with therapeutic applications for diseases such as diabetes, mitochondrial disorders, and cancer. This review examines CRAT’s structural and functional aspects, its relationships with carnitine shuttle members and other carnitine acyltransferases, and its broader role in metabolic health and disease. The potential for targeting CRAT and its associated pathways offers promising avenues for therapeutic interventions aimed at restoring metabolic equilibrium and addressing metabolic dysfunction in disease states. Show less
📄 PDF DOI: 10.3390/biom15020216
amino-acid mitochondria review
2025 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-21
PDT-active 2,2′-bipyrimidine-based cyclometalated mono- and binuclear Ir( iii ) complexes have been designed and synthesized for successful application as PDT agents.
no PDF DOI: 10.1039/d5dt01164g
Carola Romani, Paola Gagni, Riccardo Salvio +2 more · 2025 · Chemistry – A European Journal · Wiley · added 2026-04-20
Abstract The development of multifunctional carriers for gene delivery is a critical challenge in modern therapeutics, particularly in the context of multi‐drug therapy (MDT). In this study, we report Show more
Abstract The development of multifunctional carriers for gene delivery is a critical challenge in modern therapeutics, particularly in the context of multi‐drug therapy (MDT). In this study, we report the synthesis and characterization of fluorinated guanidino‐polyamine conjugates based on low‐generation polyamidoamine (PAMAM) dendrimers and low molecular weight polyethyleneimine (PEI) polymers. These conjugates are designed to act as both efficient transfection agents and artificial ribonucleases, providing a dual‐function approach to gene therapy. The functionalization with fluorinated guanidino groups enhances DNA condensation, facilitates intracellular delivery, and enables tracking via 19 F MRI. Potentiometric and kinetic studies demonstrate their phosphodiesterase activity on a model compound, with PAMAM G4 derivatives exhibiting the highest catalytic efficiency. Biolayer interferometry and transfection experiments confirm mRNA cleavage activity, leading to reduced gene expression. Additionally, transfection studies with plasmid DNA (pDNA) indicate high gene delivery efficiency, surpassing conventional PEI‐based systems while maintaining low cytotoxicity. These findings suggest that the conjugates presented herein, and in particular those derived from low‐generation PAMAM dendrimers, can serve as promising multifunctional carriers for a combined diagnostic and MDT, offering a new strategy for synergistic gene delivery and RNA degradation. Show less
no PDF DOI: 10.1002/chem.202501914
anticancer synthesis
Dongfan Song, Xiaoyu Wang, Zihan Zhao +3 more · 2025 · JACS Au · ACS Publications · added 2026-04-20
Cancer cells often upregulate ribosome biogenesis to meet increased protein synthesis demands for rapid proliferation; therefore, targeting ribosome biogenesis has emerged as a promising cancer therap Show more
Cancer cells often upregulate ribosome biogenesis to meet increased protein synthesis demands for rapid proliferation; therefore, targeting ribosome biogenesis has emerged as a promising cancer therapeutic strategy. Herein, we introduce two Pt complexes, ataluren monosubstituted platinum(IV) (SPA, formula: c,c,t,-[Pt(NH3)2Cl2(OH)(C15H8FN2O3)], where C15H8FN2O3 = ataluren) and ataluren bisubstituted platinum(IV) complex (DPA, formula: c,c,t,-[Pt(NH3)2Cl2(C15H8FN2O3)2], where C15H8FN2O3 = ataluren), which effectively suppress ribosome biogenesis by inhibiting 47s pre-RNA expression. Furthermore, SPA and DPA induce nucleolar stress by dispersing nucleolar protein NPM1, ultimately inhibiting protein generation in tumor cells. More importantly, DPA exhibits superior cytotoxicity to various cancer cells and in vivo antitumor efficacy compared to cisplatin, with lower systemic toxicity. Notably, in clinically relevant models, including orthotopic hepatic tumor-bearing mice and patient-derived bladder cancer organoids, DPA outperforms cisplatin significantly, with the added benefit of oral administration, enhancing clinical feasibility. To our knowledge, DPA emerges as the pioneering Pt(IV) agent targeting the ribosome, providing new insights for designing next-generation metal-based therapeutics. Show less
no PDF DOI: 10.1021/jacsau.4c00652
Au Pt
Thompson, Benjamin, Bundell, Shamini · 2025 · Nature 2025 · Nature · added 2026-04-20
Antimicrobial molecule discovered in soil from lab technician’s garden — plus, a huge study assessing the nuances of humans’ impacts on biodiversity. Hear the biggest stories from the world of science Show more
Antimicrobial molecule discovered in soil from lab technician’s garden — plus, a huge study assessing the nuances of humans’ impacts on biodiversity. Hear the biggest stories from the world of science | 26 March 2025 Show less
no PDF DOI: 10.1038/d41586-025-00961-z
antibacterial
Kyunghoon Lee, Shinyoung Park, Minseong Park +1 more · 2025 · Journal of Chemical Information and Modeling · ACS Publications · added 2026-04-20
Conformer generation is crucial for computational chemistry tasks such as structure-based modeling and property prediction. Although reliable methods exist for organic molecules, coordination complexe Show more
Conformer generation is crucial for computational chemistry tasks such as structure-based modeling and property prediction. Although reliable methods exist for organic molecules, coordination complexes remain challenging due to their diverse coordination geometries, ligand types, and stereochemistry. Current tools often lack the flexibility and reliability required for these systems. Here, we introduce MetalloGen, a novel algorithm designed for the automated generation of 3D conformers of mononuclear coordination complexes. MetalloGen accepts either SMILES strings or molecular graph representations as input and enables the generation of reliable conformers, including those with multiple polyhapto ligands, which are typically inaccessible to conventional conformer generators. To rigorously assess MetalloGen's performance, we benchmarked it on three distinct data sets: a curated collection of experimentally determined structures from the Cambridge Structural Database, the MOR41 benchmark set encompassing a wide range of organometallic reactions and complex ligand environments, and three catalytic reactions. Across all test sets, MetalloGen consistently reproduced appropriate geometries with high fidelity and demonstrated robust stereochemical control, even for challenging cases involving multiple polyhapto ligands. The versatility and reliability of MetalloGen make it a valuable tool for more accurate and efficient computational investigations in inorganic and organometallic chemistry. Show less
no PDF DOI: 10.1021/acs.jcim.5c02074
coordination-chemistry
Du P, Zhang T, Wu Y +2 more · 2025 · Talanta · Elsevier · added 2026-05-01
Du P, Zhang T, Wu Y, Yu Z, Liu C. Show less
Hepatic ischemia-reperfusion injury (HIRI) is one of the main causes of liver insufficiency and failure after liver surgery. However, the effectiveness of current methods of treating HIRI is generally Show more
Hepatic ischemia-reperfusion injury (HIRI) is one of the main causes of liver insufficiency and failure after liver surgery. However, the effectiveness of current methods of treating HIRI is generally limited. Previous studies have shown that hydrogen sulfide (H2S) has a beneficial effect on HIRI, and an appropriate concentration of H2S can significantly reduce HIRI by protecting the mitochondria. Therefore, establishing an accurate imaging platform for monitoring variations in mitochondrial H2S is an effective strategy for anti-HIRI drug discovery and efficacy evaluation. To this end, a cyclometalated iridium(III) complex-based probe, Cym-Ir-EDB, was developed for detecting mitochondrial H2S in HIRI. Cym-Ir-EDB possesses good sensitivity, high selectivity, negligible cytotoxicity, and excellent mitochondrial-targeting ability, rendering it a promising imaging tool for analyzing variations in mitochondrial H2S in HIRI cells. Using Cym-Ir-EDB as a probe, anti-HIRI drugs were screened from isothiocyanates by monitoring variations in mitochondrial H2S in HIRI cells, for the first time. Moreover, the dynamics of mitochondrial H2S in HIRI cells were visualized and the response of HIRI to treatment with the screened erucin was monitored. The findings indicate that Cym-Ir-EDB can serve as a useful imaging platform for the precise imaging of mitochondrial H2S in HIRI, thereby contributing to anti-HIRI drug discovery and efficacy evaluation. Show less
📄 PDF DOI: 10.1016/j.talanta.2025.128021
Biometal
Annunziata A, Amhaz S, Forté J +4 more · 2025 · ChemBioChem · Wiley · added 2026-05-01
Intracellular imaging of anticancer metallodrugs often relies on prelabeling with organic fluorophores, which significantly affects their physicochemical properties and intracellular distribution. On Show more
Intracellular imaging of anticancer metallodrugs often relies on prelabeling with organic fluorophores, which significantly affects their physicochemical properties and intracellular distribution. On the other hand, the reported postlabeling strategies based on click-chemistry reactions require cell fixation and permeabilization. Here, this study presents a postlabeling approach based on the catalyst-free, inverse electron-demand Diels-Alder reaction (iEDDA) between a strained fluorescein-tagged bicyclononyne derivative (BCN-FAM) and half-sandwich Ir(III) complexes containing bidentate ligands comprising a tetrazine (Tz-R,R') entity. Five half-sandwich Ir(III) complexes with formula [Cp*Ir(Tz-R,R')Cl]0/+ have been synthesized and fully characterized, including the X-ray crystal structures of three of the five derivatives. Investigations of their stability and their reactivity in aqueous solution and in a model iEDDA reaction reveal the strong influence of the tetrazine ligand structure on the chemical properties of the corresponding complexes. A highly cytotoxic metallodrug candidate (Ir-C,NPh,Me) is identified from biological studies, and chemical reactivity studies disclose an unusual preference for binding of methionine over cysteine. Postlabeling of Ir-C,NPh,Me in live HeLa cells highlights its preferential accumulation within the nucleus, suggesting its retention through covalent modifications of nuclear proteins in good agreement with other half-sandwich iridium(III) complexes. Show less
📄 PDF DOI: 10.1002/cbic.202500090
Biometal
2025 · ACS Omega · ACS Publications · added 2026-04-21
Computational drug discovery is essential for screening potential treatments and reducing the costs and time associated with proposing or combining drugs for disease management. Despite the extensive Show more
Computational drug discovery is essential for screening potential treatments and reducing the costs and time associated with proposing or combining drugs for disease management. Despite the extensive research conducted in this field, it remains an emerging area, particularly with the advent of machine learning, deep learning, and large language models (LLMs). This systematic review examines the integration of machine learning and deep learning techniques in drug discovery, concentrating on three critical areas: drug−drug interactions (DDIs), drug-target interactions (DTIs), and adverse drug reactions (ADRs). The review analyzes over 100 papers published between 2020 and 2025, categorizing the methods into deep learning, machine learning, graph learning, and hybrid models. It highlights the transformative impact of natural language processing (NLP) and LLMs in extracting meaningful insights from biomedical literature and chemical data. Furthermore, this work introduces key databases and data sets widely utilized in drug discovery. Additionally, this review identifies gaps in the existing research, such as the lack of comprehensive studies that simultaneously address DDI, DTI, and ADR extraction, and it proposes a more holistic approach to fill these gaps. The paper concludes by thoroughly evaluating various models, underscoring their performance metrics. Show less
📄 PDF DOI: 10.1021/acsomega.5c04997
bioinformatic techniques bioinformatics biological target biological testing clinical trials computational drug discovery computational modeling deep learning
Rikiya Imamura, Takaaki Yasuhara · 2025 · Cancer Science · Blackwell Publishing · added 2026-04-20
ABSTRACTThe nucleolus, a prominent membrane‐less nuclear compartment, is organized around ribosomal RNA (rRNA) gene (rDNA) clusters, known as nucleolar organizing regions (NORs), located on the short Show more
ABSTRACTThe nucleolus, a prominent membrane‐less nuclear compartment, is organized around ribosomal RNA (rRNA) gene (rDNA) clusters, known as nucleolar organizing regions (NORs), located on the short arms of acrocentric chromosomes. It serves as the primary site for ribosome biogenesis, an energy‐intensive process crucial for cell growth and proliferation. This involves RNA polymerase I (Pol I)‐mediated transcription of 47S precursor rRNA (pre‐rRNA), pre‐rRNA processing, and ribosomal subunit assembly, reflected in its tripartite structure maintained by liquid–liquid phase separation. Recent evidence indicates that only about 30% of nucleolar proteins are exclusively involved in ribosome production. The remaining proteome participates in diverse cellular functions, establishing the nucleolus as a multifunctional organelle. It functions as a critical stress sensor and signaling hub, responding to various intracellular insults such as nutrient starvation, DNA damage, and viral infection. Many chemotherapeutic agents also induce the response called nucleolar stress via disruption of the nucleolar structure or function, potentially leading to rDNA instability. Nucleolar stress frequently leads to dynamic transition of nucleolar proteins, inducing nucleolar reorganization. Of these, the stress induced by transcriptional changes leads to the unique nucleolar structures termed nucleolar caps and nucleolar necklaces. In this review, we summarize the recent findings about the molecular mechanism of nucleolar changes upon stresses and discuss the possible relationship between rDNA instability and cancer. Show less
no PDF DOI: 10.1111/cas.70164
DNA-binding review sensor
Diana A Llerena Schiffmacher, Yun Jin Pai, Alex Pines +1 more · 2025 · The FEBS journal · Blackwell Publishing · added 2026-04-20
Significant progress has been made in understanding the mechanism of transcription-coupled nucleotide excision repair (TC-NER); however, numerous aspects remain elusive, including TC-NER regulation, l Show more
Significant progress has been made in understanding the mechanism of transcription-coupled nucleotide excision repair (TC-NER); however, numerous aspects remain elusive, including TC-NER regulation, lesion-specific and cell type-specific complex composition, structural insights, and lesion removal dynamics in living cells. This review summarizes and discusses recent advancements in TC-NER, focusing on newly identified interactors, mechanistic insights from cryo-electron microscopy (Cryo-EM) studies and live cell imaging, and the contribution of post-translational modifications (PTMs), such as ubiquitin, in regulating TC-NER. Furthermore, we elaborate on the consequences of TC-NER deficiencies and address the role of accumulated damage and persistent lesion-stalled RNA polymerase II (Pol II) as major drivers of the disease phenotype of Cockayne syndrome (CS) and its related disorders. In this context, we also discuss the severe effects of transcription-blocking lesions (TBLs) on neurons, highlighting their susceptibility to damage. Lastly, we explore the potential of investigating three-dimensional (3D) chromatin structure and phase separation to uncover further insights into this essential DNA repair pathway. Show less
no PDF DOI: 10.1111/febs.70104
imaging review
Basudhar D, Ridnour LA, Cheng R +3 more · 2025 · Coordination Chemistry Reviews · Elsevier · added 2026-04-20
Small redox active molecules such as reactive nitrogen and oxygen species and hydrogen sulfide have emerged as important biological mediators that are involved in various physiological and pathophysio Show more
Small redox active molecules such as reactive nitrogen and oxygen species and hydrogen sulfide have emerged as important biological mediators that are involved in various physiological and pathophysiological processes. Advancement in understanding of cellular mechanisms that tightly regulate both generation and reactivity of these molecules is central to improved management of various disease states including cancer and cardiovascular dysfunction. Imbalance in the production of redox active molecules can lead to damage of critical cellular components such as cell membranes, proteins and DNA and thus may trigger the onset of disease. These small inorganic molecules react independently as well as in a concerted manner to mediate physiological responses. This review provides a general overview of the redox biology of these key molecules, their diverse chemistry relevant to physiological processes and their interrelated nature in cellular signaling. Show less
no PDF DOI: 10.1016/j.ccr.2015.06.001
review
David Fabra, János P. Mészáros, Ana I. Matesanz +6 more · 2025 · Inorganic Chemistry · ACS Publications · added 2026-04-20
The coordination capacity of thiosemicarbazone ligands and their synergism with palladium(II) ions modulate their reactivity, allowing custom design. Using thiosemicarbazones with two potential stable Show more
The coordination capacity of thiosemicarbazone ligands and their synergism with palladium(II) ions modulate their reactivity, allowing custom design. Using thiosemicarbazones with two potential stable tautomeric forms and imidazole as bioisosteres, we studied how the substitution in the N4 group of the thiosemicarbazone by the p-chlorophenyl group modifies their hydrophilic properties, integrity in solution, and interactions toward their potential targets. The coordination to Pd(II) affects the bioactivity of the ligands, resulting in either improved or reduced antiproliferative effects depending on the cell type (cancerous versus bacterial, respectively). Show less
no PDF DOI: 10.1021/acs.inorgchem.5c04027
Pd
Yiguo Zhang, Xi Chen, Meng Wang +6 more · 2025 · Cell stress · added 2026-04-20
Differential and even opposing functions of two major antioxidant transcription factors Nrf1 and Nrf2 (encoded by Nfe2l1 and Nfe2l2, respectively) are determined by distinctions in their tempospatial Show more
Differential and even opposing functions of two major antioxidant transcription factors Nrf1 and Nrf2 (encoded by Nfe2l1 and Nfe2l2, respectively) are determined by distinctions in their tempospatial positioning, topological repartitioning, proteolytic processing, and biochemical modification, as well as in their shared evolutionary origin. As a matter of fact, the allelopathic potentials of Nrf1 and Nrf2 (both resembling two entangled 'Yin-Yang' quanta that comply with a dialectic law of the unity of opposites) are fulfilled to coordinately control redox physiological homeostasis so as to be maintained within the presetting thresholds. By putative exponential curves of redox stress and intrinsic anti-redox capability, there is inferable to exist a set point at approaching zero with the 'Golden Mean' for the healthy survival (i.e., dubbed the 'zero theory'). A bulk of the hitherto accumulating evidence demonstrates that the set point of redox homeostasis is dictated selectively by multi-hierarchical threshold settings, in which the living fossil-like Nrf1 acts as a robust indispensable determinon, whereas Nrf2 serves as a versatile chameleon-like master regulon, in governing the redox homeodynamic ranges. This is attributable to the facts that Nrf2 has exerted certain 'double-edged sword' effects on life process, whereas Nrf1 executes its essential physiobiological functions, along with unique pathophysiological phenotypes, by integrating its 'three-in-one' roles elicited as a specific triplet of direct sensor, transducer and effector within multi-hierarchical stress responsive signaling to redox metabolism and target gene reprogramming. Here, we also critically reviewed redox regulation of physio-pathological functions from the eco-evo-devo perspectives, through those coding rules (redox code, stress-coping code, and topogenetic code). The evolving concepts on stress and redox stress were also further revisited by scientific principles of physics and chemistry. Besides, several novel concepts such as oncoprotists, Reverse Central Dogma, and Grand Redox-Unifying Theory' (GRUT) of life, together with diffusive reactive species (DRS)-based murburn concept integrating all stochastic electron-, proton- and/or moiety-transfer reactive and interactive processes (e.g., PCHEMS), are introduced in this interdisciplinary and synthetic review. Show less
📄 PDF DOI: 10.15698/cst2025.07.306
review sensor
2025 · Journal of Advanced Research · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.jare.2025.08.065
Fe
2025 · Journal of the American Chemical Society · ACS Publications · added 2026-05-21
no PDF DOI: 10.1021/jacs.5c03186
2025 · International journal of molecular sciences · MDPI · added 2026-04-20
In this study, the changes in the DNA native conformation induced by pH changes in the alkaline and acidic regions were examined. It was shown by the methods of low gradient viscometry and flow birefr Show more
In this study, the changes in the DNA native conformation induced by pH changes in the alkaline and acidic regions were examined. It was shown by the methods of low gradient viscometry and flow birefringence that protonation and deprotonation of nitrogen bases inside the double helix cause a change in the persistent length of DNA. The pK values shift with the change in the ionic strength of the solution (NaCl concentration). The additional charges appearing on the DNA bases are not shielded by counterions from the solution. The increase and decrease in the volume of the DNA coil in solution resulting from protonation and deprotonation of base pairs, respectively, are mainly determined by changes in the persistent length of the macromolecule. The stability of the double-helical conformation of DNA ensures the steadiness of the equilibrium rigidity of this macromolecule. The emergence of charges on the bases, resulting from DNA protonation or deprotonation, weakens and even disrupts the hydrogen bonds between complementary bases. However, at the first stage, this occurs without altering the stacking interactions of base pairs, as reflected in the absorption spectra of DNA and in the stability of the DNA persistent length at different pH levels. Show less
no PDF DOI: 10.3390/ijms27010316
dna flow birefringence macromolecule viscometry
Elina V. Antonova, Andrey S. Romanov, Evgeniia V. Salomatina +2 more · 2025 · ACS Omega · ACS Publications · added 2026-04-20
A series of cyclometalated platinum-(II) complexes bearing neutral isocyanide or acyclic diaminocarbene ancillary ligands were designed and developed. Their photophysical properties were systematicall Show more
A series of cyclometalated platinum-(II) complexes bearing neutral isocyanide or acyclic diaminocarbene ancillary ligands were designed and developed. Their photophysical properties were systematically studied in different polymer systems: poly-(methyl methacrylate), polystyrene, poly-(isobornyl acrylate), and copolymers based on them. The dependence of luminescent characteristics on the concentration of the doped complex (0.5-10 wt %), composition, and properties of the polymer material was investigated as key factors for the measurement of quantum yields, excited-state lifetimes, and spectral profiles in routine studies. Show less
no PDF DOI: 10.1021/acsomega.5c08726
Pt imaging
2025 · Oncology Research · added 2026-04-21
Cancer remains a major global health burden, with rising incidence and mortality linked to aging populations and increased exposure to genotoxic agents. Oxidative stress plays a critical role in cance Show more
Cancer remains a major global health burden, with rising incidence and mortality linked to aging populations and increased exposure to genotoxic agents. Oxidative stress plays a critical role in cancer development, progression, and resistance to therapy. The nuclear factor erythroid 2-related factor 2 (NRF2)-Kelch-like ECH-associated protein 1 (KEAP1)-antioxidant response element (ARE) signaling pathway is central to maintaining redox balance by regulating the expression of antioxidant and detoxification genes. Under physiological conditions, this pathway protects cells from oxidative damage, however, sustained activation of NRF2 in cancer, often due to mutations in KEAP1, supports tumor cell survival, drug resistance, and metabolic reprogramming. Recent studies demonstrate that NRF2 enhances glutathione (GSH) synthesis, induces detoxifying enzymes, and upregulates drug efflux transporters, collectively contributing to resistance against chemotherapy and targeted therapies. The inhibition of NRF2 using small molecules or dietary phytochemicals has shown promise in restoring drug sensitivity in preclinical cancer models. This review highlights the dual role of NRF2 in redox regulation and cancer therapy, emphasizing its potential as a therapeutic target. While targeting NRF2 offers a novel approach to overcoming treatment resistance, further research is needed to enhance specificity and facilitate clinical translation. Show less
📄 PDF DOI: 10.32604/or.2025.065755
anticancer antioxidant are cancer cancer therapy dietary phytochemicals drug resistance glutathione (gsh)
Ceranski AK, Carreño-Gonzalez MJ, Ehlers AC +11 more · 2025 · Cell Reports Methods · Elsevier · added 2026-04-20
Ewing sarcoma (EwS) cell line culture largely relies on standard techniques, which do not recapitulate physiological conditions. Here, we report on a feasible and cost-efficient EwS cell culture techn Show more
Ewing sarcoma (EwS) cell line culture largely relies on standard techniques, which do not recapitulate physiological conditions. Here, we report on a feasible and cost-efficient EwS cell culture technique with increased physiological relevance employing an advanced medium composition, reduced fetal calf serum, and spheroidal growth. Improved reflection of the transcriptional activity related to proliferation, hypoxia, and differentiation in EwS patient tumors was detected in EwS cells grown in this refined in vitro condition. Moreover, transcriptional signatures associated with the oncogenic activity of the EwS-specific FET::ETS fusion transcription factors in the refined culture condition were shifted from proliferative toward metabolic gene signatures. The herein-presented EwS cell culture technique with increased physiological relevance provides a broadly applicable approach for enhanced in vitro modeling relevant to advancing EwS research and the validity of experimental results. Show less
📄 PDF DOI: 10.1016/j.crmeth.2025.100966
cancer cell culture differentiation in vitro modeling physiological relevance proliferation qpcr sarcoma
Junmei Wan, Paul T Morse, Matthew P Zurek +6 more · 2025 · Cells · MDPI · added 2026-04-20
Cytochrome c (Cytc) is a multifunctional protein, essential for respiration and intrinsic apoptosis. Post-translational modifications of Cytc have been linked to physiological and pathophysiologic con Show more
Cytochrome c (Cytc) is a multifunctional protein, essential for respiration and intrinsic apoptosis. Post-translational modifications of Cytc have been linked to physiological and pathophysiologic conditions, including cancer. Cytc tyrosine 67 (Y67) is a conserved residue that is important to the structure and function of Cytc. We here report the phosphorylation of Y67 of Cytc purified from bovine heart mapped by mass spectrometry. We characterized the functional effects of Y67 Cytc modification using in vitro and cell culture models. Y67 was mutated to the phosphomimetic glutamate (Y67E) and to phenylalanyl (Y67F) as a control. The phosphomimetic Y67E Cytc inhibited cytochrome c oxidase (COX) activity, redirecting energy metabolism toward glycolysis, and decreased the pro-apoptotic capabilities of Cytc. The phosphomimetic Y67E Cytc showed a significantly impaired rate of superoxide scavenging and a reduced rate of oxidation by hydrogen peroxide, suggesting a lower ability to transfer electrons and scavenge reactive oxygen species (ROS). Phosphomimetic Y67E replacement led to an almost complete loss of cardiolipin peroxidase activity, pointing to a central role of Y67 for this catalytic function of Cytc. In intact cells, phosphomimetic replacement leads to a reduction in cell respiration, mitochondrial membrane potential, and ROS levels. We propose that Y67 phosphorylation is cardioprotective and promotes cell survival. Show less
no PDF DOI: 10.3390/cells14130951
ROS amino-acid mitochondria
2025 · Coordination Chemistry Reviews · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ccr.2024.216252
Ru coordination-chemistry
2025 · Physica A: Statistical Mechanics and its Applications · Elsevier · added 2026-04-21
no PDF DOI: 10.1016/j.physa.2025.130791
Natalia Mrnjavac, William F Martin · 2025 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-20
no PDF DOI: 10.1073/pnas.2503396122
Li J, Gao G, Ouyang W +3 more · 2025 · Redox Biology · Elsevier · added 2026-05-01
Modulating mitochondrial activity to regulate cancer cell homeostatic recycling presents a promising approach to overcome tumor resistance. Consequently, there is an urgent need for novel mitochondria Show more
Modulating mitochondrial activity to regulate cancer cell homeostatic recycling presents a promising approach to overcome tumor resistance. Consequently, there is an urgent need for novel mitochondria-targeting agents and innovative strategies. We have developed [((η5-Cp∗)Ir(rhod)]2+2PF6- (Ir-rhod), a new mitochondria-targeted iridium complex that exhibits greater cytotoxicity towards A549R (cisplatin-resistant human lung cancer) cells compared to the ligand rhod. Ir-rhod's mitochondrial targeting ability stems from both rhodamine's inherent mitochondrial affinity and the complex's positive bivalent nature. The positively charged Ir-rhod enters cells and is drawn to mitochondria due to the high transmembrane potential in tumor cells. Notably, rhodamine enables real-time observation of Ir-rhod's dynamic distribution in vivo. Ir-rhod influences mitochondrial function, triggering tumor cell ferroptosis and apoptosis by modulating ACSL4 and GPX4. The targeting effect of Ir-rhod reduces its systemic toxicity in vivo, enhancing its biosafety profile. To our knowledge, Ir-rhod is an effective mitochondria-targeted Ir complex capable of inducing tumor cell death by disrupting mitochondrial function, offering a potent strategy to suppress cisplatin resistance in non-small cell lung cancer. Show less
📄 PDF DOI: 10.1016/j.redox.2025.103536
Biometal apoptosis ferroptosis
Alexia Nedel Sant’Ana, Camila Kehl Dias, Sacha Krolow e Silva +1 more · 2025 · International Reviews of Immunology · Taylor & Francis · added 2026-04-20
In recent years, mostly spanning the past decade, the concept of immunometabolism has ushered with a novel perspective on carcinogenesis, tumor progression, and tumor response to therapy. It has becom Show more
In recent years, mostly spanning the past decade, the concept of immunometabolism has ushered with a novel perspective on carcinogenesis, tumor progression, and tumor response to therapy. It has become clear that the metabolic state of immune cells plays a significant role in shaping their antitumor or protumor activities within the cancer microenvironment. Consequently, the examination of tumor metabolic heterogeneity, including an exploration of immunometabolism, proves indispensable for enhancing prognostic tools and advancing the quest for personalized treatments. Here we have delved into how metabolic reprogramming profoundly influences the acquisition and maintenance of functional states, spanning from effector and cytotoxic profiles to regulatory and immunosuppressive phenotypes in both innate and adaptive immunity. These alterations wield considerable influence over tumor evolution and affect the outcome of cancer. Furthermore, we explore some of the cellular signaling mechanisms that underpin the metabolic and phenotypic flexibility of immune cells in response to external stimuli. Show less
no PDF DOI: 10.1080/08830185.2024.2401353
antitumor cancer cancer metabolism cellular signaling immune cells immuno-oncology immunometabolism metabolic reprogramming
2025 · Physica A: Statistical Mechanics and its Applications · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.physa.2025.130791