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βš—οΈ Metals 2487 β–Ά
β–Έ Metals β€” 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)
β–Έ Metals β€” 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)
β–Έ Metals β€” Iron (60)
β–Έ Metals β€” 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)
β–Έ Metals β€” Copper (63)
β–Έ Metals β€” Gold (19)
β–Έ Metals β€” Iridium (29)
β–Έ Metals β€” Others (17)
β–Έ Metals β€” Palladium (13)
β–Έ Metals β€” Zinc (5)
β–Έ Metals β€” Other (17)
πŸ”¬ Methods 1116 β–Ά
β–Έ Methods β€” 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)
β–Έ Methods β€” Computational (31)
β–Έ Methods β€” Crystallography / Structure (4)
β–Έ Methods β€” Cell biology (21)
β–Έ Methods β€” Spectroscopy (19)
β–Έ Methods β€” Genomics / Omics (25)
β–Έ Methods β€” Mass spec / Chromatography (6)
β–Έ Methods β€” Clinical / Epidemiology (8)
β–Έ Methods β€” Electrochemistry (5)
β–Έ Methods β€” Other (1)
🎯 Targets 980 β–Ά
β–Έ Targets β€” Mitochondria (15)
β–Έ Targets β€” 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)
β–Έ Targets β€” Nucleic acids (44)
β–Έ Targets β€” Membrane / Transport (15)
β–Έ Targets β€” Enzymes / Kinases (18)
β–Έ Targets β€” Transcription factors (5)
🦠 Diseases 880 β–Ά
β–Έ Diseases β€” Cancer (69)
β–Έ Diseases β€” Other (41)
β–Έ Diseases β€” Neurodegenerative (18)
β–Έ Diseases β€” Inflammatory / Immune (6)
β–Έ Diseases β€” Metabolic (5)
β–Έ Diseases β€” Cardiovascular (6)
β–Έ Diseases β€” Hepatic / Renal (8)
βš™οΈ Mechanisms 800 β–Ά
β–Έ Mechanisms β€” ROS / Redox (65)
β–Έ Mechanisms β€” 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)
β–Έ Mechanisms β€” Signaling (51)
β–Έ Mechanisms β€” Immune modulation (21)
β–Έ Mechanisms β€” DNA damage / Repair (5)
β–Έ Mechanisms β€” Epigenetic (18)
β–Έ Mechanisms β€” Cell death (7)
β–Έ Mechanisms β€” Protein interaction (14)
β–Έ Mechanisms β€” Metabolic rewiring (8)
πŸ”— Ligands 659 β–Ά
β–Έ Ligands β€” N-donor (25)
β–Έ Ligands β€” Heterocyclic (9)
β–Έ Ligands β€” C-donor / NHC (4)
β–Έ Ligands β€” S-donor (14)
β–Έ Ligands β€” O-donor (7)
β–Έ Ligands β€” Other (8)
β–Έ Ligands β€” P-donor (2)
β–Έ Ligands β€” Peptide / Protein (4)
β–Έ Ligands β€” Macrocyclic (3)
β–Έ Ligands β€” Polydentate (5)
🧠 Concepts 612 β–Ά
β–Έ Concepts β€” 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)
β–Έ Concepts β€” Bioinorganic (7)
β–Έ Concepts β€” Thermodynamics / Kinetics (10)
β–Έ Concepts β€” Evolution / Origin of life (9)
β–Έ Concepts β€” Nanomedicine / Delivery (2)
β–Έ Concepts β€” Cancer biology (1)
πŸ“¦ Other 583 β–Ά
β–Έ Other (169)
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440 articles with selected tags
Ch van Kesteren, R A A MathΓ΄t, J H Beijnen +1 more Β· 2003 Β· Investigational New Drugs Β· added 2026-04-20
The application of pharmacokinetic (PK) and pharmacodynamic (PD) modeling in drug development has emerged during the past decades and it is has been suggested that the investigation of PK-PD relations Show more
The application of pharmacokinetic (PK) and pharmacodynamic (PD) modeling in drug development has emerged during the past decades and it is has been suggested that the investigation of PK-PD relationships during drug development may facilitate and optimize the design of subsequent clinical development. Especially in oncology, well designed PK-PD modeling could be extremely useful as anticancer agents usually have a very narrow therapeutic index. This paper describes the application of the current insights in the use of PK-PD modeling to the design of clinical trials in oncology. The application of PK-PD modeling in each separate stage of (pre)clinical drug development of anticancer agents is discussed. The implementation of this approach is illustrated with the clinical development of docetaxel. Show less
no PDF DOI: 10.1023/a:1023577514605
Pd anticancer
2002 Β· Β· Springer Β· added 2026-04-20
Oxaliplatin (Eloxatine) is a third-generation platinum compound which has shown a wide antitumour effect both in vitro and in vivo, a better safety profile than cisplatin and a lack of cross-resistanc Show more
Oxaliplatin (Eloxatine) is a third-generation platinum compound which has shown a wide antitumour effect both in vitro and in vivo, a better safety profile than cisplatin and a lack of cross-resistance with cisplatin and carboplatin. In this scenario, oxaliplatin may represent an innovative and challenging drug extending the antitumour activity in diseases such as gastrointestinal cancer that are not usually sensitive to these coordination complexes. Oxaliplatin has a non-hydrolysable diaminocyclohexane (DACH) carrier ligand which is maintained in the final cytotoxic metabolites of the drug. Like cisplatin, oxaliplatin targets DNA producing mainly 1,2-GG intrastrand cross-links. The cellular and molecular aspects of the mechanism of action of oxaliplatin have not yet been fully elucidated. However, the intrinsic chemical and steric characteristics of the DACH-platinum adducts appear to contribute to the lack of cross-resistance with cisplatin. To date, mismatch repair and replicative bypass appear to be the processes most likely involved in differentiating the molecular responses to these agents. Show less
πŸ“„ PDF DOI: 10.1007/pl00012514
anticancer antitumour cancer carboplatin cisplatin coordination chemistry diaminocyclohexane dna
2002 Β· European Surgery-Acta Chirurgica Austriaca Β· added 2026-04-21
πŸ“„ PDF DOI: 10.1046/j.1563-2563.2002.02003.x
anticancer antioxidant cancer cancer biology cellular accumulation constitutive induction drug resistance enzyme
J M Woynarowski, S Faivre, M C Herzig +8 more Β· 2000 Β· Molecular pharmacology Β· added 2026-04-20
Damage to cellular DNA is believed to determine the antiproliferative properties of platinum (Pt) drugs. This study characterized DNA damage by oxaliplatin, a diaminocyclohexane Pt drug with clinical Show more
Damage to cellular DNA is believed to determine the antiproliferative properties of platinum (Pt) drugs. This study characterized DNA damage by oxaliplatin, a diaminocyclohexane Pt drug with clinical antitumor activity. Compared with cisplatin, oxaliplatin formed significantly fewer Pt-DNA adducts (e.g., 0.86+/-0.04 versus 1.36+/- 0.01 adducts/10(6) base pairs/10 microM drug/1 h, respectively, in CEM cells, P<.01). Oxaliplatin was found to induce potentially lethal bifunctional lesions, such as interstrand DNA cross-links (ISC) and DNA-protein cross-links (DPC) in CEM cells. As with total adducts, however, oxaliplatin produced fewer (P<.05) bifunctional lesions than did cisplatin: 0.7+/-0.2 and 1.8+/-0.3 ISC and 0.8+/-0.1 and 1.5+/-0.3 DPC/10(6) base pairs/10 microM drug, respectively, after a 4-h treatment. Extended postincubation (up to 12 h) did not compensate the lower DPC and ISC levels by oxaliplatin. ISC and DPC determinations in isolated CEM nuclei unequivocally verified that oxaliplatin is inherently less able than cisplatin to form these lesions. Reactivation of drug-treated plasmids, observed in four cell lines, suggests that oxaliplatin adducts are repaired with similar kinetics as cisplatin adducts. Oxaliplatin, however, was more efficient than cisplatin per equal number of DNA adducts in inhibiting DNA chain elongation ( approximately 7-fold in CEM cells). Despite lower DNA reactivity, oxaliplatin exhibited similar or greater cytotoxicity in several other human tumor cell lines (50% growth inhibition in CEM cells at 1.1/1.2 microM, respectively). The results demonstrate that oxaliplatin-induced DNA lesions, including ISC and DPC, are likely to contribute to the drug's biological properties. However, oxaliplatin requires fewer DNA lesions than does cisplatin to achieve cell growth inhibition. Show less
no PDF DOI: 10.1124/mol.58.5.920
DNA-binding Pt amino-acid anticancer
2000 Β· Journal of molecular biology Β· added 2026-04-20
The anticancer activity of cisplatin derives from its ability to bind and cross-link DNA, with the major adduct being the 1,2-d(GpG) intrastrand cross-link. Here, the consequences of this adduct on th Show more
The anticancer activity of cisplatin derives from its ability to bind and cross-link DNA, with the major adduct being the 1,2-d(GpG) intrastrand cross-link. Here, the consequences of this adduct on the conformation, thermal stability, and energetics of duplex DNA are assessed, and the modulation of these parameters by the sequence context of the adduct is evaluated. The properties of a family of 15-mer DNA duplexes containing a single 1,2-d(GpG) cis-ΒΏPt(NH(3))(2)ΒΏ(2+) intrastrand cross-link are probed in different sequence contexts where the flanking base-pairs are systematically varied from T.A to C.G to A.T. By using a combination of spectroscopic and calorimetric techniques, the structural, thermal, and thermodynamic properties of each duplex, both with and without the cross-link, are characterized. Circular dichroism spectroscopic data reveal that the cross-link alters the structure of the host duplex in a manner consistent with a shift from a B-like to an A-like conformation. Thermal denaturation data reveal that the cross-link induces substantial thermal and thermodynamic destabilization of the host duplex. Significantly, the magnitudes of these cross-link-induced effects on duplex structure, thermal stability, and energetics are influenced by the bases that flank the adduct. The presence of flanking A.T base-pairs, relative to T.A or C.G base-pairs, enhances the extent of cross-link-induced alteration to an A-like conformation and dampens the extent of cross-link-induced duplex destabilization. These results are discussed in terms of available structural data, and in terms of the selective recognition of cisplatin-DNA adducts by HMG-domain proteins. Show less
no PDF DOI: 10.1006/jmbi.2000.3496
amine anticancer bioinorganic calorimetry cancer circular dichroism cisplatin coordination chemistry
2000 Β· Β· added 2026-04-21
anticancer bioinorganic cancer cisplatin inductively coupled plasma mass spectrometry medicinal chemistry neurotoxicity octanol-aqueous shake-flask method
1999 Β· Coordination Chemistry Reviews Β· Elsevier Β· added 2026-04-20
no PDF DOI: 10.1016/s0010-8545(99)00083-1
Au anticancer coordination-chemistry synthesis
Yu Chen, John A. Parkinson, Zijian Guo +2 more Β· 1999 Β· Angewandte Chemie International Edition Β· Wiley Β· added 2026-04-20
no PDF DOI: 10.1002/%28SICI%291521-3773%2819990712%2938%3A13/14%3C2060%3A%3AAID-ANIE2060%3E3.0.CO%3B2-J
Pt anticancer
E Raymond, S G Chaney, A Taamma +1 more Β· 1998 Β· Annals of oncology : official journal of the European Society for Medical Oncology Β· added 2026-04-20
Of the new generation platinum compounds that have been evaluated, those with the 1,2-diaminocyclohexane carrier ligand-including oxaliplatin--have been focused upon in recent years. Molecular biology Show more
Of the new generation platinum compounds that have been evaluated, those with the 1,2-diaminocyclohexane carrier ligand-including oxaliplatin--have been focused upon in recent years. Molecular biology studies and the National Cancer Institute in vitro cytotoxic screening showed that diaminocyclohexane platinums such as oxaliplatin belong to a distinct cytotoxic family, differing from cisplatin and carboplatin, with specific intracellular target(s), mechanism(s) of action and/or mechanism(s) of resistance. In phase I trials, the dose-limiting toxicity of oxaliplatin was characterized by transient acute dysesthesias and cumulative distal neurotoxicity, which was reversible within a few months after treatment discontinuation. Moreover, oxaliplatin did not display any, auditory, renal and hematologic dose-limiting toxicity at the recommended dose of 130 mg/m2 q three weeks or 85 mg/m2 q two weeks given as a two-hour i.v. infusion. Clinical phase II experiences on the antitumoral activity of oxaliplatin have been conducted in hundreds of patients with advanced colorectal cancers (ACRC). Single agent activity reported as objective response rate in ACRC patients is 10% and 20% overall in ACRC patients with 5-fluorouracil (5-FU) pretreated/refractory and previously untreated ACRC, respectively. Synergistic cytotoxic effects in preclinical studies with thymidylate synthase inhibitors, cisplatin/carboplatin and topoisomerase I inhibitors, and the absence of hematologic dose-limiting toxicity have made oxaliplatin an attractive compound for combinations. Phase II trials combining oxaliplatin with 5-FU and folinic acid ACRC patients previously treated/refractory to 5-FU showed overall response rates ranging from 21% to 58%, and survivals ranging from 12 to 17 months. In patients with previously untreated ACRC, combinations of oxaliplatin with 5-FU and folinic acid showed response rates ranging from 34% to 67% and median survivals ranging from 15 to 19 months. Two randomized trials totaling 620 previously untreated patients with ACRC, comparing 5-FU and folinic acid to the same regimen with oxaliplatin, have shown a 34% overall response rate in the oxaliplatin group versus 12% in the 5-FU/folinic acid group for the first trial; and 51.2% vs. 22.6% in the second one. These statistically significant differences were confirmed in time to progression advantage for the oxaliplatin arm (8.7 vs. 6.1 months, and 8.7 vs. 6.1 months, respectively). A small but consistent number of histological complete responses have been reported in patients with advanced colorectal cancer treated with the combination of oxaliplatin with 5-FU/folinic acid, and secondary metastasectomy is increasingly done by oncologists familiar with the combination. Based on preclinical and clinical reports showing additive or synergistic effects between oxaliplatin and several anticancer drugs including cisplatin, irinotecan, topotecan, and paclitaxel, clinical trials of combinations with other compounds have been performed or are still ongoing in tumor types in which oxaliplatin alone showed antitumoral activity such as ovarian, non-small-cell lung, breast cancer and non-Hodgkin lymphoma. Its single agent and combination therapy data in ovarian cancer confirm its non-cross resistance with cisplatin/carboplatin. While the role of oxaliplatin in medical oncology is yet to be fully defined, it appears to be an important new anticancer agent. Show less
no PDF DOI: 10.1023/a:1008213732429
Pt anticancer review
E Raymond, S Faivre, J M Woynarowski +1 more Β· 1998 Β· Seminars in oncology Β· added 2026-04-20
Oxaliplatin, a platinum-based chemotherapeutic agent with a 1,2-diaminocyclohexane (DACH) carrier ligand, has shown in vitro and in vivo efficacy against many tumor cell lines, including some that are Show more
Oxaliplatin, a platinum-based chemotherapeutic agent with a 1,2-diaminocyclohexane (DACH) carrier ligand, has shown in vitro and in vivo efficacy against many tumor cell lines, including some that are resistant to cisplatin and carboplatin. The retention of the bulky DACH ring by activated oxaliplatin is thought to result in the formation of platinum-DNA adducts, which appear to be more effective at blocking DNA replication and are more cytotoxic than adducts formed from cisplatin. Studies by the National Cancer Institute (NCI) have suggested that oxaliplatin has a spectrum of activity different from that of either cisplatin or carboplatin, suggesting that it has different molecular targets and/or mechanisms of resistance. Oxaliplatin has been demonstrated to differ in some mechanisms associated with the development of cisplatin resistance. Compared with cisplatin-conditioned cells, deficiencies in mismatch repair (MMR) and increases in replicative bypass, which appear to contribute to cisplatin resistance, have not been shown to induce a similar resistance to oxaliplatin. A decreased likelihood of resistance development makes oxaliplatin a good candidate for first-line therapy. Studies also demonstrate additive and/or synergistic activity with a number of other compounds, however, suggesting the possible use of oxaliplatin in combination therapies. Show less
no PDF
Pt anticancer
1997 Β· Β· added 2026-04-21
anticancer bioinorganic biotransformation cancer chloride diaminocyclohexane in vitro in vivo
W Schmidt, S G Chaney Β· 1993 Β· Cancer research Β· added 2026-04-20
We have examined the effects of the cis-diammine and 1,2-diaminocyclohexane (dach) carrier ligands on cytotoxicity, platinum accumulation and efflux, platinum incorporation into DNA, cytotoxicity of P Show more
We have examined the effects of the cis-diammine and 1,2-diaminocyclohexane (dach) carrier ligands on cytotoxicity, platinum accumulation and efflux, platinum incorporation into DNA, cytotoxicity of Pt-DNA adducts, and repair of Pt-DNA adducts in the human ovarian carcinoma A2780 cell line, the human colon carcinoma HCT8 cell line, and their cis-diamminedichloroplatinum(II) (cisplatin)-resistant derivatives, A2780/DDP and HCT8/DDP. The A2780/DDP cell line was 7.7-fold resistant to cisplatin, and the HCT8/DDP cell line was 1.6-fold resistant to cisplatin compared to their parental cell lines. Both were considered as examples of acquired cisplatin resistance. The HCT8/S cell line was 4.6-fold resistant to cisplatin compared with the A2780/S cell line and was considered an example of intrinsic resistance. Decreased accumulation of cisplatin made a significant contribution to acquired cisplatin resistance in the A2780/DDP cell line, probably contributed to intrinsic resistance in the HCT8/S cell line, but made little or no contribution to acquired resistance in the HCT8/DDP cell line. Decreased cytotoxicity of Pt-DNA adducts made a major contribution to both acquired and intrinsic cisplatin resistance in all three cell lines. Increased repair activity made a significant contribution to the decreased cytotoxicity of Pt-DNA adducts in the HCT8/S cell line, a weak contribution in the A2780/DDP cell line, and no contribution in the HCT8/DDP cell line. Glutathione levels were elevated in all the cell lines with acquired and intrinsic resistance, but the increased glutathione levels were not associated with decreased incorporation of platinum into DNA. These data suggest that both decreased accumulation and increased repair contribute to cisplatin resistance to different degrees in these human carcinoma cell lines. In addition, mechanism(s) other than repair may contribute to the decreased cytotoxicity of cis-diammine-Pt-DNA adducts. Of the cells with acquired cisplatin resistance, the HCT8/DDP cell line showed no resistance to tetrachloro(trans-DL)1,2-diaminocyclohexaneplatinum(IV) (ormaplatin, formerly known as tetraplatin), while the A2780/DDP cell line was just as resistant to ormaplatin as to cisplatin. The intrinsically cisplatin-resistant HCT8/S cell line showed only partial cross-resistance to ormaplatin. The effects of the dach carrier ligand on both acquired and intrinsic resistance in these cell lines appeared to occur primarily at the level of cytotoxicity of dach-Pt adducts, but the differences in the cytotoxicity of cis-diammine-Pt and dach-Pt adducts could not be explained by differences in repair of those adducts.(ABSTRACT TRUNCATED AT 400 WORDS) Show less
no PDF
A2780 Pt anticancer
McKeage, MJ, Higgins, JD, Kelland, LR Β· 1991 Β· Nature Publishing Group Β· Nature Β· added 2026-04-20
The use of molecular biological methodologies has provided a greater understanding of the cytotoxic effects of cisplatin and the underlying mechanisms of tumour cell resistance. Resistance to cisplati Show more
The use of molecular biological methodologies has provided a greater understanding of the cytotoxic effects of cisplatin and the underlying mechanisms of tumour cell resistance. Resistance to cisplatin is often multifocal with plasma membrane, cytosolic and nuclear components. Cisplatin-DNA adducts appear to be recognised by specific damage recognition proteins. Proteins associated with the transport of platinum through plasma membranes and genes associated with cisplatin resistance appear to be close to being elucidated. Current Phase I and Phase II clinical trials with platinum-containing complexes largely focus on the 1,2 diaminocyclohexane (DACH) carrier ligand, the dicarboxylatocyclobutane leaving group and complexes which circumvent cisplatin resistance in murine leukaemia models. At present, the trials are at too early a stage to allow comment on their clinical utility and, consequently, the relevance of the murine leukaemia-based preclinical observations. On the horizon, orally active platinum (IV) ammine/amine dicarboxylate dichloride coordination complexes with preclinical toxicological profiles similar to carboplatin should enter clinical trial in the next year. Show less
no PDF DOI: 10.1038/bjc.1991.400
Pt anticancer coordination-chemistry
1987 Β· Pharmacology &amp; Therapeutics Β· Elsevier Β· added 2026-04-20
no PDF DOI: 10.1016/0163-7258(87)90009-x
Pt anticancer
1976 Β· Extrapolation Β· added 2026-04-21
Polypharmacology has emerged as novel means in drug discovery for improving treatment response in clinical use. However, to really capitalize on the polypharmacological effects of drugs, there is a cr Show more
Polypharmacology has emerged as novel means in drug discovery for improving treatment response in clinical use. However, to really capitalize on the polypharmacological effects of drugs, there is a critical need to better model and understand how the complex interactions between drugs and their cellular targets contribute to drug efficacy and possible side effects. Network graphs provide a convenient modeling framework for dealing with the fact that most drugs act on cellular systems through targeting multiple proteins both through on-target and off-target binding. Network pharmacology models aim at addressing questions such as how and where in the disease network should one target to inhibit disease phenotypes, such as cancer growth, ideally leading to therapies that are less vulnerable to drug resistance and side effects by means of attacking the disease network at the systems level through synergistic and synthetic lethal interactions. Since the exponentially increasing number of potential drug target combinations makes pure experimental approach quickly unfeasible, this review depicts a number of computational models and algorithms that can effectively reduce the search space for determining the most promising combinations for experimental evaluation. Such computational-experimental strategies are geared toward realizing the full potential of multi-target treatments in different disease phenotypes. Our specific focus is on system-level network approaches to polypharmacology designs in anticancer drug discovery, where we give representative examples of how network-centric modeling may offer systematic strategies toward better understanding and even predicting the phenotypic responses to multi-target therapies. Show less
πŸ“„ PDF DOI: 10.3828/extr.1976.17.2.133
algorithms anticancer bioinformatics cancer cellular targets computational models disease network drug discovery
Β· Elsevier Β· added 2026-04-21
The treatment of colorectal cancer (CRC) with FOLFOX shows some efficacy, but these tumors quickly develop resistance to this treatment. We have observed increased phosphorylation of AKT1/mTOR/4EBP1 a Show more
The treatment of colorectal cancer (CRC) with FOLFOX shows some efficacy, but these tumors quickly develop resistance to this treatment. We have observed increased phosphorylation of AKT1/mTOR/4EBP1 and levels of p21 in FOLFOX-resistant CRC cells. We have identified a small molecule, NSC49L, that stimulates protein phosphatase 2A (PP2A) activity, downregulates the AKT1/ mTOR/4EBP1-axis, and inhibits p21 translation. We have provided evidence that NSC49L- and TRAIL-mediated sensitization is synergistically induced in p21-knockdown CRC cells, which is reversed in p21-overexpressing cells. p21 binds with procaspase 3 and prevents the activation of caspase 3. We have shown that TRAIL induces apoptosis through the activation of caspase 3 by NSC49Lmediated downregulation of p21 translation, and thereby cleavage of procaspase 3 into caspase 3. NSC49L does not affect global protein synthesis. These studies provide a mechanistic understanding of NSC49L as a PP2A agonist, and how its combination with TRAIL sensitizes FOLFOX-resistant CRC cells. Show less
πŸ“„ PDF DOI: 10.1016/j.isci
4ebp1 akt1 akt1/mtor/4ebp1 axis downregulation anticancer apoptosis induction cancer cancer therapy cell culture
Β· added 2026-04-21
The Kelch-like ECH-associated protein 1/nuclear factor erythroid-derived 2-like 2 (KEAP1/NRF2) pathway is well recognized as a key regulator of redox homeostasis, protecting cells from oxidative stres Show more
The Kelch-like ECH-associated protein 1/nuclear factor erythroid-derived 2-like 2 (KEAP1/NRF2) pathway is well recognized as a key regulator of redox homeostasis, protecting cells from oxidative stress and xenobiotics under physiological circumstances. Cancer cells often hijack this pathway during initiation and progression, with aberrant KEAP1-NRF2 activity predominantly observed in non-small cell lung cancer (NSCLC), suggesting that cell/tissue-of-origin is likely to influence the genetic selection during Show less
πŸ“„ PDF DOI: 10.7150/thno.80184
anticancer bioinformatic analysis cancer cancer therapy cell membrane immunity immunotherapy keap1
Β· MDPI Β· added 2026-04-21
Platinum-based anticancer anticancer drugs drugs represented represented by by cisplatin cisplatin play play important important roles roles in in the the treatment of of various various solid solid t Show more
Platinum-based anticancer anticancer drugs drugs represented represented by by cisplatin cisplatin play play important important roles roles in in the the treatment of of various various solid solid tumors. tumors. However, However, their their applications applications are are largely largely compromised compromised by by drug drug treatment resistanceand andside side effects. effects. Much Much effort effort has has been been made made to to circumvent circumvent the the drug drug resistance resistanceand Show less
πŸ“„ PDF DOI: 10.3390/xxxxx
anticancer cancer cisplatin coordination chemistry medicinal chemistry platinum(ii) pt
Β· ACS Publications Β· added 2026-04-20
no PDF DOI: 10.1021/om034285a.s001
Au NHC anticancer
Β· ACS Publications Β· added 2026-04-20
no PDF DOI: 10.1021/acsmedchemlett.5c00096.s001
Au Fe anticancer