📋 Browse Articles

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧪 BiometalDB 🧬 Extraction
🏷️ 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)
review (375)proteins (11)cytochrome c (10)hydrogen sulfide (5)lactate (3)lipid (3)fumarate (3)kras (3)inhibitors (2)spermidine (2)csa (2)persulfides (2)xtb (2)catalase (2)csb (2)putrescine (2)metalloenzymes (2)mental health (1)carbonate ions (1)antithrombotic agents (1)pik3ca (1)butionine sulfoximine (1)prmt5 (1)uniprotkb (1)tpp-hclo4 (1)brequinar (1)pubtator 3.0 (1)metal salt (1)na-h2tcpp (1)nadhp (1)genotoxic agents (1)modular interaction motifs (1)npm1 protein (1)protons (1)ribosome biogenesis factors (1)nadh (1)ki-67 (1)chemistry (1)phosphatidic acid (1)heat shock proteins (1)l-ohp (1)brain (1)association study (1)ucp2 (1)alkaline phosphatase (1)trex1 (1)insp7 (1)ribosomal proteins (1)chebi (1)platelet aggregation inhibitors (1)artificial metalloenzymes (1)fluorescent probe (1)charge balancing (1)o-nitrophenyl octyl ether (1)dataset (1)resazurin (1)gfp (1)gap junctions (1)vitamin b12 (1)organic solutes (1)garlic oil (1)cationic surfactant (1)ligand charges (1)3-phenylquinazolinones (1)dodecyl-β-d-maltoside (1)r16 (1)bacterial anti-phage systems (1)uvssa (1)protein-templated synthesis (1)2-nitrophenyloctyl ether (1)atovaquone (1)tpp (1)p62 (1)ms023 (1)boron-doped helical systems (1)uv photoproducts (1)triton x-100 (1)tight binding (1)alkylating agents (1)bml284 (1)sodium azide (az) (1)phospholipids (1)mediator (1)snu13 (1)dithiothreitol (dtt) (1)cystine (1)proton pump inhibitors (1)mtt (1)adda 5 (1)rpa (1)ac220 (1)sodium decanoate (1)nad (1)lipophilic ionic additive (1)hdac inhibitor (1)methylene blue (1)greigite (1)sucralose (1)dspe-peg-2000 (1)bpep (1)phospholipid (1)diallyltrisulfide (1)pyrene (1)replication protein a (1)polynucleotide synthesis (1)eloxatine (1)drt (1)plasticity (1)nop56 (1)silicate (1)phosphoinositides (1)intrinsically disordered proteins (1)metoprolol (1)box c/d rnp (1)nop1 (1)dmf (1)diuretics (1)atp analogue (1)ribonuclease inhibitors (1)ligand properties (1)monoclonal antibodies (1)adp•bef3 (1)organic carbon (1)folfox-6 (1)desiccants (1)nadph (1)physical activity (1)minoxidil (1)hydrogel (1)st101 (1)pyrazino[2,3-d]pyridazine (1)tight-binding (1)rhea (1)cytochrome oxidase (1)astrocytes (1)decanol (1)elof1 (1)extended tight-binding (1)nucleophosmin (1)nsc49l (1)entinostat (1)insp6 (1)gsk-3β (1)mannosides (1)prmt1 inhibitor (1)lcs-1 (1)sleep quality (1)arginine (1)pp-insps (1)oligonucleotides (1)organic solvents (1)networks (1)bora[7]helicene (1)bardoxolone (1)insp8 (1)pluronic f-127 (1)probes (1)npm1 (1)pvc (1)heart aging (1)therapeutic agents (1)thapsigargin (1)brivudine (1)charge-balancing workflow (1)diborahelicate (1)folfox (1)pyp (1)tfiie (1)dpep (1)
🧬 Activities 402
▸ Activities — Catalytic / Sensing (15)
▸ Activities — Other biological (110)
inhibition (6)regulation (5)chemoresistance (5)therapeutic (4)oxidation (4)cell survival (4)cell growth (3)prediction (3)chemopreventive (2)target identification (2)phagocytosis (2)analysis (2)carcinogenesis (2)degradation (2)adr detection (2)treatment (2)cell viability (2)vesicle formation (2)cellular response (2)weight loss (2)therapy (2)survival (2)immunomodulatory (2)binding (2)neurotoxicity (2)photodynamic therapy (2)emission (1)incidence (1)protein degradation (1)protein expression (1)ribonuclease activity (1)therapeutic advances (1)protein interaction analysis (1)detection (1)protection (1)sulfide oxidase (1)model training (1)medication (1)diagnostic (1)toxicity (1)enzyme activity (1)transformation (1)physiological function (1)nitrification (1)data extraction (1)postmarketing surveillance (1)explanation (1)neuroprotection (1)functional regulators (1)prognosis (1)immunosuppression (1)signal production (1)personalized treatment (1)electron shuttling (1)morphological analysis (1)metabolic plasticity (1)myocardial ischemic injury (1)cell division (1)replication (1)nucleolar reorganization (1)multi-target (1)probe biology (1)promoting angiogenesis (1)oled (1)cell lysis (1)screening (1)carbon fixation (1)epigenome profiling (1)hypoxia alleviation (1)wound healing (1)question answering (1)ammonia oxidation (1)modulation of cytoskeleton (1)ppi prediction (1)cellular protection (1)gene function prediction (1)metabolic (1)cell invasion (1)cell line characterization (1)ddi screening (1)immunosuppressive (1)cellular transformation (1)profiling (1)tubulin inhibition (1)interactions (1)cell growth promotion (1)sensitization (1)mutation prevention (1)predictive biomarker (1)nucleolar stress (1)energy homeostasis (1)stimulation (1)carbon limitation response (1)stress regulation (1)cell migration (1)anti-ageing (1)regulatory assessment (1)prognostic value (1)evaluation (1)variant prioritization (1)induction (1)intracellular ph regulation (1)cell profiling (1)regulation of calcium levels (1)rare disease diagnosis (1)disease gene identification (1)therapeutic opportunities (1)invasion (1)metabolic activity (1)protein synthesis (1)
▸ Activities — Antimicrobial (3)
▸ Activities — Anticancer (3)
▸ Activities — Antioxidant / cytoprotect (2)

🔍 Filters

4728 articles
Qi F, Zheng X, Wu Y +5 more · 2024 · Chemical Communications · Royal Society of Chemistry · added 2026-05-01
Title: A Ru(II) complex-based COX-2 targeting type I photosensitizer evokes ferroptosis and apoptosis. Abstract: Photodynamic therapy (PDT) often faces challenges such as oxygen dependence and limite Show more
Title: A Ru(II) complex-based COX-2 targeting type I photosensitizer evokes ferroptosis and apoptosis. Abstract: Photodynamic therapy (PDT) often faces challenges such as oxygen dependence and limited tumour specificity. We report a tumour-targeting photosensitizer (PS), RuCXB, which enhances uptake by cancer cells by targeting overexpressed cyclooxygenase-2 enzyme in tumours. RuCXB also reduces oxygen dependence via a type I PDT mechanism and achieves a strong therapeutic effect through the synergistic induction of ferroptosis and apoptosis. This work presents a reliable strategy for developing potent PSs with enhanced PDT efficacy, tumour selectivity, and diminished oxygen dependence. Show less
📄 PDF DOI: 10.1039/d4cc04217d
Biometal apoptosis ferroptosis
2024 · Molecular Genetics and Metabolism · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ymgme.2024.108488
Aviva Levina, Kartika Wardhani, Liam J. Stephens +7 more · 2024 · Dalton Transactions · Royal Society of Chemistry · added 2026-04-20
Rhenium(I) tricarbonyl complexes are widely studied for their cell imaging properties and anti-cancer and anti-microbial activities, but the complexes with S-donor ligands remain relatively un Show more
Rhenium(I) tricarbonyl complexes are widely studied for their cell imaging properties and anti-cancer and anti-microbial activities, but the complexes with S-donor ligands remain relatively unexplored. A series of six fac-[Re(NN)(CO)3(SR)] complexes, where (NN) is 2,2′-bipyridyl (bipy) or 1,10-phenanthroline (phen), and RSH is a series of thiocarboxylic acid methyl esters, have been synthesized and characterized. Cellular uptake and anti-proliferative activities of these complexes in human breast cancer cell lines (MDA-MB-231 and MCF-7) were generally lower than those of the previously described fac-[Re(NN)(CO)3(OH2)]+ complexes; however, one of the complexes, fac-[Re(CO)3(phen)(SC(Ph)CH2C(O)OMe)] (3b), was active (IC50 ∼ 10 μM at 72 h treatment) in thiol-depleted MDA-MB-231 cells. Moreover, unlike fac-[Re(CO)3(phen)(OH2)]+, this complex did not lose activity in the presence of extracellular glutathione. Taken together these properties show promise for further development of 3b and its analogues as potential anti-cancer drugs for co-treatment with thiol-depleting agents. Conversely, the stable and non-toxic complex, fac-[Re(bipy)(CO)3(SC(Me)C(O)OMe)] (1a), predominantly localized in the lysosomes of MDA-MB-231 cells, as shown by live cell confocal microscopy (λex = 405 nm, λem = 470–570 nm). It is strongly localized in a subset of lysosomes (25 μM Re, 4 h treatment), as shown by co-localization with a Lysotracker dye. Longer treatment times with 1a (25 μM Re for 48 h) resulted in partial migration of the probe into the mitochondria, as shown by co-localization with a Mitotracker dye. These properties make complex 1a an attractive target for further development as an organelle probe for multimodal imaging, including phosphorescence, carbonyl tag for vibrational spectroscopy, and Re tag for X-ray fluorescence microscopy. Show less
📄 PDF DOI: 10.1039/D4DT00149D
Co MCF-7 Re X-ray imaging mitochondria pyridine synthesis
2024 · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval · ACM · added 2026-04-20
no PDF DOI: 10.1145/3626772.3661353
2024 · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval · ACM · added 2026-04-20
no PDF DOI: 10.1145/3626772.3661353
2024 · Cureus · added 2026-04-21
Background As desmoid-type fibromatosis (DF) exhibits a high recurrence rate after surgery, initial active surveillance followed by medical therapy is the mainstay of the treatment. However, there are Show more
Background As desmoid-type fibromatosis (DF) exhibits a high recurrence rate after surgery, initial active surveillance followed by medical therapy is the mainstay of the treatment. However, there are few effective drugs with acceptable side effects. Methodology Among drugs that have been used for a long period and possess a known safety profile, auranofin was observed to be effective in suppressing DF using the drug repositioning method in our laboratory. This clinical study has been designed to examine the efficacy and safety of auranofin, an approved anti-rheumatic Show less
📄 PDF DOI: 10.7759/cureus.71033
anticancer antitumor auranofin cancer clinical trial drug repurposing fibromatosis medicinal chemistry
2024 · Applied Organometallic Chemistry · Wiley · added 2026-05-21
A straightforward synthetic route to new N‐heterocyclic carbene (NHC)‐gold‐steroidyl complexes is reported. The desired complexes were obtained using a weak base (such as K2CO3) through a concerted‐me Show more
A straightforward synthetic route to new N‐heterocyclic carbene (NHC)‐gold‐steroidyl complexes is reported. The desired complexes were obtained using a weak base (such as K2CO3) through a concerted‐metallation‐deprotonation (CMD) reaction mechanism occurring between [Au(NHC)Cl] and ethisterone as a model steroid‐based alkyne. Most complexes displayed good cytotoxicity against a panel of cancer cell lines with IC50 values in the low micromolar range. Cellular uptake of the most active complex 2a into MCF‐7 breast cancer cells was facilitated by the coordinated ethisterone ligand. Show less
no PDF DOI: 10.1002/aoc.6624 📎 SI
2024 · RSC Medicinal Chemistry · Royal Society of Chemistry · added 2026-05-21
Gold(i/iii) complexes based on the marine natural betaine norzooanemonin display excellent antibacterial and cyctotoxic activity based on the nature of carboxylate functionalization.
no PDF DOI: 10.1039/D4MD00358F
Muniesa-Vargas, Alba, Davó-Martínez, Carlota, Ribeiro-Silva, Cristina +11 more · 2024 · Nature Publishing Group · Nature · added 2026-04-20
Hereditary nucleotide excision repair deficiencies cause different cancerous and progeroid disorders of which the exact etiology is not understood. This study finds that prolonged binding of DNA repai Show more
Hereditary nucleotide excision repair deficiencies cause different cancerous and progeroid disorders of which the exact etiology is not understood. This study finds that prolonged binding of DNA repair factor TFIIH to DNA damage contributes to a more severe phenotype caused by DNA repair deficiency. Show less
📄 PDF DOI: 10.1038/s41467-024-47935-9
DNA-binding
2024 · BMC Medicine · BioMed Central · added 2026-04-21
Background The co-administration of drugs known to interact greatly impacts morbidity, mortality, and health economics. This study aims to examine the drug–drug interaction (DDI) phenomenon with a lar Show more
Background The co-administration of drugs known to interact greatly impacts morbidity, mortality, and health economics. This study aims to examine the drug–drug interaction (DDI) phenomenon with a large-scale longitudinal analysis of age and gender differences found in drug administration data from three distinct healthcare systems. Methods This study analyzes drug administrations from population-wide electronic health records in Blumenau (Brazil; 133 K individuals), Catalonia (Spain; 5.5 M individuals), and Indianapolis (USA; 264 K individuals). The stratified Show less
📄 PDF DOI: 10.1186/s12916-024-03384-1
drug interaction analysis drug-drug interactions electronic health records health economics morbidity mortality null models omeprazole
2024 · Morphology · added 2026-04-20
no PDF DOI: 10.17816/morph.642457
You‐Liang Zeng, Liu‐Yi Liu, Tian‐Zhu Ma +6 more · 2024 · Angewandte Chemie · Wiley · added 2026-05-01
📄 PDF DOI: 10.1002/ange.202410803
Biometal
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 📎 SI
amino-acid
2024 · World Journal of Advanced Research and Reviews · added 2026-04-20
Artificial intelligence (AI) has emerged as a key enabler in optimizing renewable energy systems, significantly contributing to global efforts toward environmental sustainability. This review Show more
Artificial intelligence (AI) has emerged as a key enabler in optimizing renewable energy systems, significantly contributing to global efforts toward environmental sustainability. This review explores the application of AI technologies in enhancing the efficiency, reliability, and integration of renewable energy sources such as solar, wind, and hydropower. It focuses on how machine learning (ML), deep learning (DL), and other AI-driven algorithms improve energy forecasting, grid management, and storage optimization. Survey data and case studies demonstrate the potential of AI to minimize energy waste, reduce costs, and lower greenhouse gas emissions, reinforcing its role in transitioning to a sustainable energy future. The review concludes with a discussion of challenges and future research directions. Show less
no PDF DOI: 10.30574/wjarr.2024.23.3.2934
Ziru Sun, Jianbin Han, Jun Xu +8 more · 2024 · Journal of Medicinal Chemistry · ACS Publications · added 2026-04-20
Oxaliplatin-based chemotherapy has proven to be one of the most effective treatments for advanced or metastatic colorectal cancer. However, increasing clinical resistance to oxaliplatin poses unpreced Show more
Oxaliplatin-based chemotherapy has proven to be one of the most effective treatments for advanced or metastatic colorectal cancer. However, increasing clinical resistance to oxaliplatin poses unprecedented challenges for both patients and clinicians. Despite extensive efforts to combat this issue, to date, no new molecules have been discovered that can successfully replace oxaliplatin. With the aim of developing a new generation of Pt(II)-based anticancer agents in response to the challenges of oxaliplatin-induced drug resistance, we performed a systematic screening of new Pt(II)-complexes with a quantitative structure-activity relationship (QSAR) study based on their antiresistance activity against oxaliplatin-resistant colon cancer cells. The results revealed that both the structure and chirality of the chelating ligand had a significant impact on the antiresistance properties of the Pt(II)-complexes. Our study culminated in the identification of chiral R-binaphthyldiamine-ligated Pt(II)-malonatoglycoconjugates that can completely counteract oxaliplatin resistance with excellent in vitro and in vivo potency. Show less
no PDF DOI: 10.1021/acs.jmedchem.4c00366
Pt anticancer
Hu H, Zhang F, Sheng Z +6 more · 2024 · European Journal of Medicinal Chemistry · Elsevier · added 2026-05-01
Title: Synthesis and mitochondria-localized iridium (III) complexes induce cell death through pyroptosis and ferroptosis pathways. Abstract: This paper introduces a new ligand, 4,6-dichloro-5-(1H-imi Show more
Title: Synthesis and mitochondria-localized iridium (III) complexes induce cell death through pyroptosis and ferroptosis pathways. Abstract: This paper introduces a new ligand, 4,6-dichloro-5-(1H-imidazo [4,5-f]phenanthroline-2-yl)pyrimidin-2-amine (DPPA), and its corresponding new iridium(III) complexes: [Ir(ppy)2(DPPA)](PF6) (2a) (where ppy represents deprotonated 2-phenylpyridine), [Ir(bzq)2(DPPA)](PF6) (2b) (with bzq indicating deprotonated benzo[h]quinoline), and [Ir(piq)2(DPPA)](PF6) (2c) (piq denoting deprotonated 1-phenylisoquinoline). The cytotoxic effects of both DPPA and 2a, 2b, and 2c were evaluated against human lung carcinoma A549, melanoma B16, colorectal cancer HCT116, human hepatocellular carcinoma HepG2 cancer cell lines, as well as the non-cancerous LO2 cell line using the 3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method. While DPPA exhibited moderate anticancer activity toward A549, B16, HCT116 and HepG2 cells, complexes 2a, 2b, and 2c displayed remarkable efficacy against A549, B16, and HCT116 cells. The cell colonies and wound healing were investigated. Moreover, various aspects of the anticancer mechanisms were explored. The cell cycle analyses revealed that the complexes block cell proliferation of A549 cells during the S phase. Complex 2c induce an early apoptosis, while 2a and 2b cause a late apoptosis. The interaction of 2a, 2b and 2c with endoplasmic reticulum and mitochondria was identified, leading to elevated ROS and Ca2+ amounts. This resulted in a reduced mitochondrial membrane potential, mitochondrial permeability transition pore opening, and an increase of cytochrome c. Also, ferroptosis was investigated through measurements of intracellular glutathione (GSH), malondialdehyde (MDA), and recombinant glutathione peroxidase (GPX4) protein expression. The pyroptosis was explored via cell morphology, release of lactate dehydrogenase (LDH) and expression of pyroptosis-related proteins. RNA sequencing was applied to examine the signaling pathways. Western blot analyses illuminated that the complexes regulate the expression of Bcl-2 family proteins. Additionally, an in vivo antitumor study demonstrated that complex 2c exhibited a remarkable inhibitory rate of 58.58% in restraining tumor growth. In summary, the findings collectively suggest that the iridium(III) complexes induce cell death via ferroptosis, apoptosis by a ROS-mediated mitochondrial dysfunction pathway and GSDMD-mediated pyroptosis. Show less
📄 PDF DOI: 10.1016/j.ejmech.2024.116295
Biometal apoptosis ferroptosis pyroptosis
2024 · Coordination Chemistry Reviews · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ccr.2024.215941
NHC anticancer
2024 · iScience · Elsevier · added 2026-04-21
Drug-drug interactions (DDIs) can produce unpredictable pharmacological effects and lead to adverse events that have the potential to cause irreversible damage to the organism. Traditional methods to Show more
Drug-drug interactions (DDIs) can produce unpredictable pharmacological effects and lead to adverse events that have the potential to cause irreversible damage to the organism. Traditional methods to detect DDIs through biological or pharmacological analysis are time-consuming and expensive, therefore, there is an urgent need to develop computational methods to effectively predict drug-drug interactions. Currently, deep learning and knowledge graph techniques which can effectively extract features of entities have been widely utilized to develop DDI prediction methods. In this research, we aim to systematically review DDI prediction researches applying deep learning and graph knowledge. The available biomedical data and public databases related to drugs are firstly summarized in this review. Then, we discuss the existing drug-drug interactions prediction methods which have utilized deep learning and knowledge graph techniques and group them into three main classes: deep learning-based methods, knowledge graph-based methods, and methods that combine deep learning with knowledge graph. We comprehensively analyze the commonly used drug related data and various DDI prediction methods, and compare these prediction methods on benchmark datasets. Finally, we briefly discuss the challenges related to drug-drug interactions prediction, including asymmetric DDIs prediction and high-order DDI prediction. Show less
📄 PDF DOI: 10.1016/j.isci.2024.109148
analysis benchmarking bioinformatics complex diseases computational biology data mining deep learning drug combinations
2024 · Frontiers in Nutrition · Frontiers · added 2026-04-21
BackgroundAntioxidant supplements are widely used during cancer treatment to prevent oxidative stress, reduce treatment toxicities, and improve patient outcomes. However, current literature reveals si Show more
BackgroundAntioxidant supplements are widely used during cancer treatment to prevent oxidative stress, reduce treatment toxicities, and improve patient outcomes. However, current literature reveals significant gaps suggesting that antioxidants may protect both healthy and tumor cells from oxidative damage, thereby reducing treatment efficacy. It is for this reason that antioxidant supplements have become a source of therapeutic controversy.ObjectiveTo review therapeutic controversies over the use of antioxidant supplements during cancer treatment.MethodsScoping review of the international published articles following the Arksey and O’Malley framework, cross-sectional studies, clinical and pre-clinical studies, systematic and umbrella reviews and grey literatures published from 2014 to 2024 with all age patient populations were included. A structured literature search was conducted of CINAHL, EMBASE, MEDLINE, Google Scholar, using key medical subject heading words and Cochrane Collaboration and Joanna Briggs Institute databases. All included studies were reviewed independently by two investigators. Data were extracted, collated by type of antioxidants, summarized in tables and synthesized for analysis.ResultA total of 1, 550 articles were identified. After reviewing all literatures, twenty-one (21) were full-text articles, grey literatures (2), and systematic reviews (42) and umbrella reviews (3), met the criteria for inclusion. In this review, the use of antioxidant supplements can benefit cancer cells in the same way as they do for normal cells during cancer treatment. In addition, not all antioxidants were effective in inhibiting oxidative stress, reduce treatment toxicities, and improve patient outcomes.Conclusion and recommendationsAccording to this review, the use of antioxidant supplements can benefit tumor cells in the same manner as they do for normal cells. Therefore, oncologists should advise not to take antioxidant supplements during chemotherapy and/or radiotherapy. Future research including potential clinical and preclinical trials, mechanistic studies, and exploration of different vitamin and mineral supplement studies are required to uncover the complete potential of antioxidant supplements for cancer treatment or determine their safety and effectiveness when used alongside standard cancer treatments. Furthermore, the results of this review could be used for future systematic review of therapeutic controversies over use of antioxidant supplements during cancer treatment. Show less
📄 PDF DOI: 10.3389/fnut.2024.1480780
anticancer antioxidant antioxidant supplements cancer cross-sectional studies healthy cells oxidative damage oxidative stress
Hoag A, Duan M, Mao P · 2024 · Environmental and molecular mutagenesis · Wiley · added 2026-04-20
DNA damage occurs throughout life from a variety of sources, and it is imperative to repair damage in a timely manner to maintain genome stability. Thus, DNA repair mechanisms are a fundamental part o Show more
DNA damage occurs throughout life from a variety of sources, and it is imperative to repair damage in a timely manner to maintain genome stability. Thus, DNA repair mechanisms are a fundamental part of life. Nucleotide excision repair (NER) plays an important role in the removal of bulky DNA adducts, such as cyclobutane pyrimidine dimers from ultraviolet light or DNA crosslinking damage from platinum-based chemotherapeutics, such as cisplatin. A main component for the NER pathway is transcription factor IIH (TFIIH), a multifunctional, 10-subunit protein complex with crucial roles in both transcription and NER. In transcription, TFIIH is a component of the pre-initiation complex and is important for promoter opening and the phosphorylation of RNA Polymerase II (RNA Pol II). During repair, TFIIH is important for DNA unwinding, recruitment of downstream repair factors, and verification of the bulky lesion. Several different disease states can arise from mutations within subunits of the TFIIH complex. Most strikingly are xeroderma pigmentosum (XP), XP combined with Cockayne syndrome (CS), and trichothiodystrophy (TTD). Here, we summarize the recruitment and functions of TFIIH in the two NER subpathways, global genomic (GG-NER) and transcription-coupled NER (TC-NER). We will also discuss how TFIIH's roles in the two subpathways lead to different genetic disorders. Show less
no PDF DOI: 10.1002/em.22568 📎 SI
DNA-binding Pt amino-acid
Partha S Nial, Umakanta Subudhi · 2024 · International journal of biological macromolecules · Elsevier · added 2026-04-20
Zeta potential is commonly referred as surface charge density and is a key factor in modulating the structural and functional properties of nucleic acids. Although the negative charge density of B-DNA Show more
Zeta potential is commonly referred as surface charge density and is a key factor in modulating the structural and functional properties of nucleic acids. Although the negative charge density of B-DNA is well understood, there is no prior description of the zeta potential measurement of Z-DNA. In this study, for the first time we discover the zeta potential difference between B-DNA and lanthanum chloride-induced Z-DNA. A series of linear repeat i.e. (CG)n and (GC)n DNA as well as branched DNA (bDNA) structures was used for the B-to-Z DNA transition. Herein, the positive zeta potential of Z-DNA has been demonstrated as a powerful tool to discriminate between B-form and Z-form of DNA. The generality of the approach has been validated both in linear and bDNA nanostructures. Thus, we suggest zeta potential can be used as an ideal signature for the left-handed Z-DNA. Show less
no PDF DOI: 10.1016/j.ijbiomac.2024.131238
La
Chen Y, Liang C, Kou M +2 more · 2024 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-01
Title: Lysosome-targeted cyclometalated Ir(III) complexes as photosensitizers/photoredox catalysts for cancer therapy. Abstract: A novel lysosome-targeted photosensitizer/photoredox catalyst based on Show more
Title: Lysosome-targeted cyclometalated Ir(III) complexes as photosensitizers/photoredox catalysts for cancer therapy. Abstract: A novel lysosome-targeted photosensitizer/photoredox catalyst based on cyclometalated Ir(III) complex IrL has been designed and synthesized, which exhibited excellent phosphorescence properties and the ability to generate single oxygen (1O2) and photocatalytically oxidize 1,4-dihydronicotinamide adenine dinucleotide (NADH) under light irradiation. Most importantly, the aforementioned activities are significantly enhanced due to protonation under acidic conditions, which makes them highly attractive in light-activated tumor therapy, especially for acidic lysosomes and tumor microenvironments. The photocytotoxicity of IrL and the mechanism of cell death have been investigated. Additionally, the tumor-killing ability of IrL under light irradiation was evaluated using a 4T1 tumor-bearing mouse model. This work provides a strategy for the development of lysosome-targeted photosensitizers/photoredox catalysts to overcome hypoxic tumors. Show less
no PDF DOI: 10.1039/d4dt01345j
Biometal
Huan, He , Lyamzaev, Konstantin G. , Panteleeva, Alisa A. +1 more · 2024 · Frontiers · Frontiers · added 2026-04-20
Ferroptosis, a form of regulated cell death mediated by lipid peroxidation (LPO), has become the subject of intense research due to its potential therapeutic applications in cancer chemotherapy as wel Show more
Ferroptosis, a form of regulated cell death mediated by lipid peroxidation (LPO), has become the subject of intense research due to its potential therapeutic applications in cancer chemotherapy as well as its pathophysiological role in ischemic organ injury. The role of mitochondrial lipid peroxidation (LPO) in ferroptosis remains poorly understood. We show that supplementation of exogenous iron in the form of ferric ammonium citrate (FAC) in combination with buthionine sulfoximine (BSO, an inhibitor of glutathione biosynthesis) induces mitochondrial lipid peroxidation that precedes ferroptosis in normal human fibroblasts. The mitochondrial-targeted antioxidant SkQ1 and the redox mediator methylene blue, which inhibits the production of reactive oxygen species (ROS) in complex I of the mitochondrial electron transport chain, prevent both mitochondrial lipid peroxidation and ferroptosis, but do not affect the cytosolic ROS accumulation. These data indicate that mitochondrial lipid peroxidation is required for ferroptosis induced by exogenous iron. FAC in the absence of BSO stimulates mitochondrial peroxidation without reducing cell viability. Glutathione depletion by BSO does not affect FAC-induced mitochondrial LPO but strongly stimulates the accumulation of ROS in the cytosol. These data allow us to conclude that mitochondrial LPO is not sufficient for ferroptosis and that cytosolic ROS mediates additional oxidative events that stimulate ferroptosis in conjunction with mitochondrial LPO. Show less
📄 PDF DOI: 10.3389/fcell.2024.1452824
Fe ROS mitochondria
Lu Y, Zhu D, Hu B +6 more · 2024 · Small · Wiley · added 2026-05-01
Title: pH-Responsive, Self-Assembled Ruthenium Nanodrug: Dual Impact on Lysosomes and DNA for Synergistic Chemotherapy and Immunogenic Cell Death. Abstract: Several DNA-damaging antitumor agents, inc Show more
Title: pH-Responsive, Self-Assembled Ruthenium Nanodrug: Dual Impact on Lysosomes and DNA for Synergistic Chemotherapy and Immunogenic Cell Death. Abstract: Several DNA-damaging antitumor agents, including ruthenium complexes, induce immunogenic cell death (ICD). In this study, an arginyl-glycyl-aspartic acid (RGD) peptide-modified carboline ruthenium complex (KS-Ru) is synthesized as a chemotherapeutic nanodrug and an ICD inducer. The RGD peptide, an integrin ligand, provides tumor-specific targeting and promotes self-assembly of the KS-Ru complex. The pH-responsive self-assembly is assessed through transmission and scanning electron microscopy. Additionally, in vitro cytotoxic activity and anti-metastasis ability are evaluated using MTT and Transwell assays, respectively, along with cellular immunofluorescence staining and imaging flow cytometry. The ability of the complex to inhibit primary tumor formation and lung metastasis in vivo is evaluated using Lewis lung cancer and A549 xenograft models. Furthermore, the tumor immune microenvironment is evaluated using single-cell flow mass cytometry. KS-Ru translocates to the nucleus, causing DNA damage and inducing ICD. Within the lysosomes, KS-Ru self-assembled into nanoflowers, leading to lysosomal swelling and apoptosis. Notably, the as-synthesized pH-dependent ruthenium nanomedicine achieves dual functionality-chemotherapy and immunotherapy. Moreover, the pH-responsive self-assembly of KS-Ru enables simultaneous mechanisms in the lysosome and nucleus, thereby lowering the likelihood of drug resistance. This study provides valuable insight for the design of novel ruthenium-based nanoantitumor drugs. Show less
📄 PDF DOI: 10.1002/smll.202310636
Biometal apoptosis immunogenic cell death
2024 · Oncology Reports · added 2026-04-21
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 trea 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 📎 SI
anticancer anticancer therapy cancer cancer therapy coenzyme q10 ferroptosis induction fsp1 fsp1 inhibitors
Fennes A, Montesdeoca N, Papadopoulos Z +1 more · 2024 · Chemical Communications · Royal Society of Chemistry · added 2026-05-01
Title: Rational design of a red-light absorbing ruthenium polypyridine complex as a photosensitizer for photodynamic therapy. Abstract: Herein, the computer-guided design, chemical synthesis, and bio Show more
Title: Rational design of a red-light absorbing ruthenium polypyridine complex as a photosensitizer for photodynamic therapy. Abstract: Herein, the computer-guided design, chemical synthesis, and biological evaluation of a RuC polypyridine complex, that could eradicate cancerous cells upon excitation with red light at 630 nm, is reported. Show less
📄 PDF DOI: 10.1039/d4cc04126g
Biometal
2024 · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval · ACM · added 2026-04-20
no PDF DOI: 10.1145/3626772.3661353
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 📎 SI
Co ROS 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
2024 · · ACS Publications · added 2026-04-20
no PDF DOI: 10.1021/acs.organomet.4c00440.s002
Pd Pt