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🏷️ Tags (8587 usages)
⚗️ Metals 2487
▸ Metals — Platinum (109)
apoptosis (297)Pt (214)pt (24)ferroptosis (22)oxaliplatin (21)cisplatin (21)pyroptosis (7)necroptosis (6)transcription (6)carboplatin (5)transcription factors (5)transcriptional regulation (5)platinum (4)lead optimization (3)transcription regulation (3)metabolic adaptation (3)pt(ii) complexes (2)transcriptional regulatory interactions (2)ferroptosis induction (2)transcription initiation (2)transcription-coupled repair (2)adaptive binding (2)cellular adaptation (2)post-transcriptional regulation (2)pt(dach)methionine (1)transcription-coupled nucleotide excision repair (tc-ner) (1)triptolide (1)molecular optimization (1)pt(dach)cl4 (1)innate apoptotic immunity (1)pta (1)oligopeptides (1)transcription-coupled ner (1)ferroptosis suppressor protein 1 (fsp1) (1)apoptotic cells (1)platinumbased (1)hptab (1)signaling-transcriptional mechanisms (1)oncogene transcription inhibition (1)pt2 (1)admet optimization (1)receptor (1)pten (1)platinum(ii) (1)chain-of-thought prompt engineering (1)tetrapeptides (1)apoptotic function (1)adaptive immune response (1)gpt-2 (1)platinum drugs (1)ptii complex (1)platinum complexes (1)transcriptomics (1)cell metabolism disruption (1)peptide (1)pt(s,s-dab) (1)pt(r,r-dab) (1)pt3(hptab) (1)estrogen receptor (1)transcriptional addiction (1)transcription stress (1)septicemia (1)optical spectroscopies (1)receptors (1)selective serotonin reuptake inhibitors (ssri) (1)transcription-coupled nucleotide excision repair (1)pt(r,r-dach) (1)chiroptical response (1)diplatinum helicate (1)cyclometalated 1,3-bis(8-quinolyl) phenyl chloroplatinum(ii) (1)transcriptional activity (1)pt1 (1)disrupting a base pair (1)platinum-containing drugs (1)gpt-4 (1)transcriptional stalling (1)transcription inhibition (1)apoptotic (1)eukaryotic transcription (1)base pairing disruption (1)apoptosis-related disorders (1)coordination chemistry is not relevant, but bioinorganic and medicinal chemistry are related concepts (1)chatgpt (1)apoptosis induction (1)platinum(ii)-based (1)transcriptional activation (1)platinum-based compounds (1)inhibition of transcription factors (1)molecular descriptors (1)pt(dach)oxalato (1)polypeptide chains (1)pt(dach)cl2 (1)glp-1 receptor agonists (1)chiroptical applications (1)pt(s,s-dach) (1)cell-penetrating peptides (1)cysteine uptake (1)therapeutic optimization (1)shape description methods (1)transcription blockage (1)antiferroptotic (1)rna transcription (1)electronic absorption (1)cellular adaptation to hypoxia (1)ferroptosis suppressor protein 1 (1)apoptosis evasion (1)phosphopeptide-based kinome analysis (1)anti-apoptotic (1)gpt (1)
▸ Metals — Cobalt (185)
coordination-chemistry (102)Co (64)coordination chemistry (55)colorectal cancer (19)computational biology (7)spectroscopy (7)computational chemistry (6)computational modeling (6)pharmacology (6)co (5)pharmacovigilance (5)cryo-electron microscopy (4)glucose (4)colon cancer (4)metal complexes (4)glycolysis (4)oncology (4)pharmacokinetics (4)conformational change (3)glycocalyx (3)oncometabolite (3)complex i (3)oncosis (3)oncogenesis (2)polypharmacology (2)in-silico (2)plant secondary metabolites (2)computational approaches (2)in silico (2)convolutional neural networks (2)complex iii (2)natural compounds (2)pharmacodynamics (2)mitochondrial complex i (2)aerobic glycolysis (2)oncogene (2)covid-19 (2)microviscosity (1)pharmacometabolomics (1)complex formation (1)redox control (1)fatty alcohols (1)influence on physicochemical properties (1)fluorescence recovery after photobleaching (1)convolutional neural network (1)conditional lethality (1)picolinic acid (1)sars-cov-1 (1)metabolic control (1)pharmacological inhibition (1)pharmacokinetic (1)therapeutic controversy (1)multicolor emission (1)co2 fixation (1)protein complex (1)oncogenes (1)recombination (1)confocal microscopy (1)metal-ligand cooperation (1)cell surface recognition (1)sarcoma (1)network pharmacology (1)covalent interaction (1)escherichia coli (1)cobalamin (1)reversible compartmentalization (1)oncogene promoter regions (1)cellular compartments (1)coulometric karl fischer apparatus (1)combinatorial treatment (1)heme-containing enzymes (1)coimmunoprecipitation assay (1)glycosphingolipids (1)comorbidities (1)glycolytic activity (1)computational metabolomics (1)conformational isomerization (1)constitutive induction (1)confocal imaging (1)alcoholic hepatitis (1)knowledge discovery (1)oncogenic mutation (1)cobaltocene (1)coordination (1)computational approach (1)inorganic compounds (1)toxicology (1)conformational stability (1)connectivity mapping (1)mitochondrial uncoupling protein 2 (1)pharmacokinetic analyses (1)membrane permeability comparison (1)computer models (1)pathological conditions (1)dna condensation (1)4-octyl-itaconate (4-oi) (1)glucose dependence (1)cockayne's syndrome (1)atomic force microscope (1)complex diseases (1)dna conformational distortion (1)computational prediction (1)health economics (1)viscometry (1)conformational transitions (1)anticoagulant (1)glycome (1)oncogenic pathways (1)mitochondrial quality control (1)spin-orbit coupling (1)cytosolic ca21 concentration (1)cobamide (1)glycobiology (1)coimmunoprecipitation (1)dual protein expansion microscopy (1)brightfield microscopy (1)complexes (1)fluorescence recovery after photobleaching (frap) (1)glucose deprivation resistance (1)physicochemical properties (1)cell-like compartments (1)expansion microscopy (1)anticoagulants (1)ascorbic acid (1)oncogenic signaling (1)collective intelligence (1)cordycepin (1)genetic encoding (1)co2 (1)coupled-cluster computations (1)atp-competitive inhibitors (1)non-covalent interaction (1)computational methods (1)conformational states (1)conformational transition (1)electronic health records (1)sars-cov-2 (1)computational models (1)pharmacodynamic (1)text encoder (1)social cognition (1)sensory nerve conduction velocity (1)covalent binding (1)oncogene-mediated cellular transformation (1)fluorescence microscopy (1)glycolysis pathway (1)electronic conductometry (1)conformational landscapes (1)inductively coupled plasma mass spectrometry (1)itaconate (1)co(terpy)2+ (1)nmr spectroscopy (1)computational analysis (1)inductively coupled plasma mass spectrometer (1)coenzyme q10 (1)cell communication (1)colony formation assay (1)physico-chemical mechanisms (1)recognition (1)glycolytic enzymes (1)systems pharmacology (1)atomic force microscopy (1)computational methodologies (1)oncogenic (1)click expansion microscopy (1)glycosylation (1)n-(2-picolyl)salicylimine (1)ewing sarcoma (1)computational study (1)anticoagulation (1)confocal laser scanning microscopy (1)immuno-oncology (1)genome conformation profiling (1)somatic comorbidities (1)uv-vis spectroscopy (1)in silico analysis (1)co-immunoprecipitation (1)caco-2 cell monolayers (1)scoping review (1)conformational switch (1)damage recognition (1)entity recognition (1)energy conversion (1)noncovalent interactions (1)computer analysis (1)
▸ Metals — Iron (60)
▸ Metals — Ruthenium (86)
Ru (41)drug discovery (27)drug-delivery (23)drug resistance (11)prodrug (9)drug-drug interactions (9)drugs (7)adverse drug reactions (7)structural biology (7)drug repurposing (6)drug delivery (5)drug (5)drug development (5)g-quadruplex dna (4)ru (4)protein structure (3)drug interactions (3)structural analysis (3)drug screening (3)drug-target interaction prediction (3)g-quadruplex (3)drug design (3)drug repositioning (2)metallodrugs (2)structural data (2)drug-target interaction (2)serum (1)structure-based virtual screening (1)recruitment (1)hexammineruthenium(iii) (1)drug testing (1)spectrum diagrams (1)drug therapy (1)drug safety monitoring (1)drug sensitivity and resistance testing (1)drug safety assessment (1)structure (1)structural insights (1)adverse drug reaction detection (1)drug sensitization (1)drug target (1)truncations (1)drug-drug interaction prediction (1)protein structure-function relationship (1)pyruvate (1)drug-drug interaction identification (1)phenotypic drug screening (1)spontaneous adverse drug reaction reports (1)structural basis (1)antiviral drug discovery (1)drug tolerance (1)green rust (1)structural modeling (1)small-molecule drugs (1)structural methods (1)drug-nutrient interactions (1)adverse drug events (1)computational drug discovery (1)metal-based drugs (1)structural rearrangement (1)protein structure analysis (1)virus (1)small-molecule oral drugs (1)targeted drug delivery (1)adverse drug reaction (1)chemical drugs (1)doxorubicin (1)drug resistance reduction (1)drug-likeness (1)drug interaction prediction (1)drug target identification (1)macromolecular structure determination (1)resorufin (1)drug interaction analysis (1)drug combinations (1)non-steroidal anti-inflammatory drugs (nsaids) (1)structural bioinformatics (1)structure prediction (1)drug response (1)drug interaction screening (1)ruthenium(ii)-based (1)drug detection (1)structure-function analysis (1)metal-based drug (1)protocellular structures (1)drug interaction identification (1)
▸ Metals — Copper (63)
▸ Metals — Gold (19)
▸ Metals — Iridium (29)
▸ Metals — Others (17)
▸ Metals — Palladium (13)
▸ Metals — Zinc (5)
▸ Metals — Other (17)
🔬 Methods 1116
▸ Methods — Other experimental (213)
synthesis (244)ML (51)docking (23)natural language processing (12)in vitro (7)in vivo (6)morphological profiling (4)literature search (4)benchmarking (4)network analysis (4)image-based profiling (3)biochemical analysis (3)text analysis (3)bibliometric analysis (3)api (2)incites (2)vosviewer (2)experimental (2)theoretical studies (2)high-throughput screening (2)sequence analysis (2)information extraction (2)pubmed (2)cck-8 assay (2)statistics (2)lectin array (2)statistical approach (2)literature review (2)genetic (2)icite (2)lectin microarray (2)semantic search (2)data visualization (1)in vivo studies (1)target-based approaches (1)permeability measurement (1)gene expression profile (1)patch clamp (1)cnns (1)knockout mouse studies (1)cpg island methylator phenotype (1)in vitro models (1)immunoblot (1)bret2 (1)preclinical models (1)graph theory (1)gnns (1)passive rheology (1)nonequilibrium sensitivity analysis (1)ex vivo (1)multilayer network integration (1)inhibition assay (1)go analysis (1)experimental data analysis (1)caspase activity (1)nct (1)esm (1)web of science (1)gene expression microarray (1)uv light exposure (1)text2sql (1)decision-making (1)short tandem repeat profiling (1)in-vitro (1)analytical determination methods (1)perturbation (1)immunospecific antibodies (1)overexpression (1)mechanistic analysis (1)nuclease digestion (1)enzymatic reaction (1)excision assay (1)nuclear magnetic resonance (not explicitly mentioned but implied through study of variants) (1)pampa assay (1)experimental studies (1)null models (1)binding studies (1)clinical analysis (1)semi-supervised learning (1)efficacy analyses (1)supervised learning (1)electric field application (1)mouse model (1)estimates (1)isothermal calorimetry (1)rational design (1)learning to rank (1)gene expression analysis (1)fluorometry (1)octanol-aqueous shake-flask method (1)polypharmacy regimens (1)predictive models (1)xr-seq (1)graph learning (1)human studies (1)in vivo lung perfusion (1)merip-seq (1)uv-detection (1)atp hydrolysis (1)clinical methods (1)data processing (1)glovebox-bound apparatus (1)hoechst 33,258 staining (1)mutational analyses (1)semantic retrieval (1)solid-phase microextraction (1)immunization (1)pathscan array (1)quantitative phase behavior (1)natural bond orbital (nbo) analysis (1)ai (1)immunological analysis (1)cellular assays (1)synthetic biology tools (1)nanotherapeutic approaches (1)splicing regulation profiling (1)genome-wide screening (1)loss-of-function screens (1)histochemical staining (1)resazurin reduction assay (1)stopped-flow ph jump experiments (1)protein language model (1)experimental validation (1)matrix factorization (1)giao method (1)multi-head attention mechanism (1)rnns (1)phase ii trial (1)calorimetry (1)high throughput screening (1)trp emission (1)self-supervised learning (1)chemocentric approach (1)graph-based learning (1)tcga analysis (1)theoretical framework (1)machine-learning algorithms (1)ablation experiments (1)boolean logic (1)guanidine hydrochloride denaturation (1)ic50 index (1)statistical analysis (1)quantification (1)ensemble learning (1)in vitro study (1)relation search (1)relation extraction (1)image segmentation (1)genetic studies (1)genome-wide analysis (1)knockdown (1)ccsd(t) (1)biochemical characterization (1)performance evaluation (1)nbo 3.1 (1)rocplotter (1)mitoplast preparation (1)cryoem (1)entity annotation (1)modeling (1)systems engineering (1)database analysis (1)radiation exposure (1)prognostic tools (1)mouse models (1)nuclear magnetic resonance (1)proximity ligation assays (1)mp2(fc)/6–311 +  + (2d,2p) (1)personalized treatments (1)ncbi e-utilities (1)gradient boosting machines (1)kegg analysis (1)genetic algorithm (1)algorithms (1)experimental design (1)system-level/network analyses (1)visualized analysis (1)aimall (1)radiotherapy (1)laboratory methods (1)displacement assay (1)electrophoretic retardation measurements (1)seahorse platform (1)normoxia (1)mixture modeling (1)high-throughput (1)experimental methods (1)slot blot (1)magnetic tweezers (1)thermal denaturation (1)global genome ner (1)genetic profiling (1)mutation analysis (1)algorithm development (1)modelling (1)cell migration assay (1)methylome profiling (1)biochemical studies (1)patch clamping (1)umbrella review (1)zotero (1)immunoblotting (1)statistical methods (1)cellular models (1)miclip (1)fluorometric assay (1)enzymatic assays (1)genetic analysis (1)photophysical (1)biomedical information retrieval (1)logistic regression (1)in-vivo (1)mutational status analysis (1)
▸ Methods — Computational (31)
▸ Methods — Crystallography / Structure (4)
▸ Methods — Cell biology (21)
▸ Methods — Spectroscopy (19)
▸ Methods — Genomics / Omics (25)
▸ Methods — Mass spec / Chromatography (6)
▸ Methods — Clinical / Epidemiology (8)
▸ Methods — Electrochemistry (5)
▸ Methods — Other (1)
🎯 Targets 980
▸ Targets — Mitochondria (15)
▸ Targets — Other (157)
protein (58)enzyme (19)heme (11)gene expression (10)nucleus (9)genome (5)cardiolipin (5)enzymes (5)are (4)nucleolus (4)genetic variants (4)tfiih (4)lipids (4)signal transduction (4)cytoplasm (4)cellular metabolism (4)cell metabolism (3)cell surface (3)ribosome (3)metalloproteins (3)cells (3)cell (3)fumarate hydratase (2)dihydroorotate dehydrogenase (2)ubiquinone (2)stress response (2)tubulin (2)cytosol (2)polysulfides (2)cytochrome c oxidase (2)xpb (2)aif (2)genes (2)ribosome biogenesis (2)chromophore (1)none (1)substrates (1)clinical notes (1)acsl4 (1)protein phosphatase 2a (1)dpscs (1)albumin (1)tissues (1)trxr (1)substrate (1)platelet aggregation (1)tbk1 (1)metabolic phenotype (1)lab results (1)intracellular ph (1)sqr (1)cellular biochemistry (1)target (1)healthy cells (1)sting (1)gene targets (1)variants (1)three-way junction (1)heme-oxygenase1 (1)ddr1 (1)cajal bodies (1)target genes (1)upr (1)mif (1)heme a3 (1)nucleic acids (1)intracellular substrates (1)hydrogen sulfide (h2s) (1)mt1-mmp (1)gene (1)plasma proteins (1)adenine (1)metabolic signatures (1)nuclear foci (1)mscs (1)caspase cascade (1)p65 (1)dna synthesis (1)ddb2 (1)nuclear factor (1)hmga2 (1)ecm (1)diseases (1)spliceosomal proteins (1)neurons (1)smn protein (1)nadh/nad(p)h (1)rtk clusters (1)reactive species (1)metal (1)translation initiation (1)ligand (1)lipid droplet (1)metabolic enzymes (1)pkcd (1)protein kinases (1)peripheral nervous system (1)stem cells (1)cellular targets (1)metalloenzyme (1)chemical reactions (1)4ebp1 (1)procaspase 3 (1)ump synthase (1)rbx1 (1)literature-based evidence (1)ras (1)metabolic biomarkers (1)guanine (1)metal centers (1)ccr7 (1)cytochrome p450 2e1 (1)cell nucleus (1)lung tissue (1)ph (1)stress granules (1)erythrocytes (1)hexokinase 2 (1)nucleic acid (1)nitrogen species (1)four-way junction (1)nucleolar protein (1)p21 (1)mek1/2 (1)membrane potential (1)polysulfides (h2sn) (1)mek (1)annexin v (1)atp production (1)actin (1)traf5 (1)tme (1)cytoskeleton (1)proteoforms (1)cell cycle (1)p47phox (1)metabolome (1)cellular (1)aldoa (1)oxidants (1)zbp1 (1)cellular machines (1)atp (1)actin filaments (1)disease network (1)lipid damage (1)focal adhesions (1)p97 (1)protein sequence (1)xpc (1)whole cell (1)p38 (1)plectin (1)plasmids (1)propidium iodide (1)nadph oxidase 1 (nox1) (1)hdac enzymes (1)
▸ Targets — Nucleic acids (44)
▸ Targets — Membrane / Transport (15)
▸ Targets — Enzymes / Kinases (18)
▸ Targets — Transcription factors (5)
🦠 Diseases 880
▸ Diseases — Cancer (69)
▸ Diseases — Other (41)
▸ Diseases — Neurodegenerative (18)
▸ Diseases — Inflammatory / Immune (6)
▸ Diseases — Metabolic (5)
▸ Diseases — Cardiovascular (6)
▸ Diseases — Hepatic / Renal (8)
⚙️ Mechanisms 800
▸ Mechanisms — ROS / Redox (65)
▸ Mechanisms — Other (96)
cell cycle arrest (16)enzyme inhibition (12)phosphorylation (5)gene expression regulation (5)cell cycle regulation (4)persulfidation (3)detoxification (3)ligand dissociation (2)sequence variants (2)mechanism of action (2)resistance (2)inactivation (2)invasion inhibition (1)er stress responses (1)hormesis (1)invasiveness (1)epithelial-to-mesenchymal transition inhibition (1)oxygen-dependent metabolism (1)aquation (1)paracellular permeability (1)translation efficiency (1)denaturation (1)sequestration (1)oxidative post-translational modification (1)lipid metabolism (1)duplex unwinding (1)unfolded protein response (1)antioxidation (1)calcium regulation (1)radical formation (1)oxidative damage (1)splicing regulation (1)cell growth arrest (1)protein destabilization (1)multivalent interactions (1)protein phosphatase 2a modulation (1)protein dislocation (1)cell growth suppression (1)proteotoxic stress (1)protein rearrangements (1)p21 translation inhibition (1)gg-ner (1)pseudohypoxia (1)hypoxic response (1)electron shuttle (1)low-barrier hydrogen bond (1)kinase inhibition (1)synthetic lethality (1)stress responses (1)mutagenesis (1)subcellular relocalization (1)weak interactions (1)proton ejection (1)metabolic fuel selection (1)posttranslational modification (1)regulatory interactions (1)proton pumps (1)genetic regulation (1)protein unfolding (1)nucleolar homeostasis (1)ligand switch (1)ribosomopathies (1)oxidation-reduction (1)induced fit (1)localization (1)genetic mutation (1)mode of action (1)nucleolar stress response (1)cell killing capacity (1)ligand exchange (1)bond breaking (1)kinase activation (1)modulation (1)diadduct formation (1)cytoskeleton modulation (1)radical-mediated reaction (1)electron self-exchange (1)protein shuttling (1)pore formation (1)cellular metabolism regulation (1)nuclear export processes (1)ion selectivity (1)cell survival suppression (1)stabilization (1)cell damage (1)mitochondrial bioenergetics (1)gene therapy (1)cytochrome p450 2e1 inhibition (1)oxidative metabolic phenotype (1)phosphorylation regulation (1)aggregation (1)downregulation (1)glutamate exchange (1)acidosis (1)dysregulated gene expression (1)glycan expression (1)
▸ Mechanisms — Signaling (51)
▸ Mechanisms — Immune modulation (21)
▸ Mechanisms — DNA damage / Repair (5)
▸ Mechanisms — Epigenetic (18)
▸ Mechanisms — Cell death (7)
▸ Mechanisms — Protein interaction (14)
▸ Mechanisms — Metabolic rewiring (8)
🔗 Ligands 659
▸ Ligands — N-donor (25)
▸ Ligands — Heterocyclic (9)
▸ Ligands — C-donor / NHC (4)
▸ Ligands — S-donor (14)
▸ Ligands — O-donor (7)
▸ Ligands — Other (8)
▸ Ligands — P-donor (2)
▸ Ligands — Peptide / Protein (4)
▸ Ligands — Macrocyclic (3)
▸ Ligands — Polydentate (5)
🧠 Concepts 612
▸ Concepts — Other biomedical (178)
medicinal chemistry (122)photoactivated (27)cell biology (13)chemotherapy (11)metabolism (10)biochemistry (9)artificial intelligence (7)large language models (7)systems biology (6)information retrieval (5)precision medicine (5)gene regulation (5)data mining (5)chemoprevention (4)cheminformatics (4)therapeutic target (4)mitophagy (4)immunology (4)genetics (4)biomedical research (3)large language model (3)biomedical literature (3)hydrogen bonding (3)post-translational modifications (3)chemotherapy resistance (3)variant interpretation (3)immunometabolism (3)physiology (2)clinical practice (2)evidence extraction (2)biotransformation (2)metabolic regulation (2)physiological relevance (2)chemical biology (2)cell cycle progression (2)immunomodulation (2)biophysics (2)protein modification (2)biopharmaceutics (2)immunity (2)in vitro modeling (2)post-translational modification (2)targeted therapy (2)predictive modeling (2)therapy resistance (2)desiccant efficiency (1)multimodal data integration (1)stereochemistry (1)variant evaluation (1)epithelial-mesenchymal transition (1)metalloprotein (1)genetic screening (1)self-assembly (1)personalized therapy (1)protein function prediction (1)cellular mechanisms (1)protein targeting (1)evidence-based medicine (1)photophysics (1)protein modifications (1)translational research (1)paracellular transport (1)helicase mechanism (1)chemiosmosis (1)polarizability (1)nonequilibrium (1)genotype characterization (1)nuclear shape (1)nutrient dependency (1)metabolic engineering (1)interactome (1)therapies (1)probing (1)multiscale analysis (1)reactive species interactome (1)tissue-specific (1)pharmaceutics (1)knowledge extraction (1)metabolic activities (1)protein function (1)chemical ontology (1)proton delocalization (1)permeability (1)biomarkers (1)prediction tool (1)mechanisms of action (1)protein-ligand binding affinity prediction (1)short hydrogen bonds (1)chemical language models (1)biomedical informatics (1)organelle function (1)microbiome (1)pathogenesis (1)mechanistic framework (1)biosignatures (1)cellular stress response (1)ion-selective electrodes (1)multimodal fusion (1)gasotransmitter (1)carbon metabolism (1)bioengineering (1)ion association (1)enzyme mechanism (1)symmetry breaking (1)micropolarity (1)genome stability (1)scaffold (1)global health (1)clinical implications (1)cellular neurobiology (1)mesh indexing (1)llm (1)therapeutic strategy (1)ner (1)dissipative behavior (1)enzymology (1)pretrained model (1)longevity (1)profiling approaches (1)multimodal information integration (1)therapeutic implications (1)astrobiology (1)protein sequence analysis (1)selective degradation (1)mechanical properties (1)biomedical literature search (1)metabolism regulation (1)extracellular vesicles (1)protein chemistry (1)foundation model (1)data science (1)low-barrier hydrogen bonds (1)variant detection (1)synthetic biology (1)therapeutic innovation (1)therapeutic targeting (1)metabolic dependencies (1)protein data bank (1)cellular biology (1)phenotypic screening (1)immunoengineering (1)database (1)thermochemistry (1)therapeutic approaches (1)medical subject heading (1)network biology (1)inorganic chemistry (1)immunoregulation (1)ageing (1)protein interaction networks (1)hormone mimics (1)therapeutics (1)chemotherapy efficacy (1)metabolite-mediated regulation (1)regulatory landscape (1)chemical informatics (1)mental well-being (1)personalized medicine (1)cell plasticity (1)protein science (1)metabolic therapy (1)cell polarity (1)bioavailability (1)biomedicine (1)cellular stress (1)network medicine (1)energy transduction (1)boron helices (1)nucleolar biology (1)sialic acid (1)organic solvent drying (1)phenotypic analysis (1)in vivo perfusion (1)polypharmacy (1)hyperglycemia (1)phenotypic screens (1)mechanobiology (1)nuclear organization (1)
▸ Concepts — Bioinorganic (7)
▸ Concepts — Thermodynamics / Kinetics (10)
▸ Concepts — Evolution / Origin of life (9)
▸ Concepts — Nanomedicine / Delivery (2)
▸ Concepts — Cancer biology (1)
📦 Other 583
▸ Other (169)
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4200 articles
E Rimel, JM Egly, BV Houten +1028 more · 2018 · Protein science : a publication of the Protein Society · Wiley · added 2026-04-20
E Rimel, JM Egly, BV Houten, J Kuper, C Kisker, M Spies, RC Conaway, JW Conaway, WJ Feaver, JQ Svejstrup, L Bardwell, AJ Bardwell, S Buratowski, KD Gulyas, TF Donahue, EC Friedberg, RD Kornberg, NL Henry, O Flores, H Lu, D Reinberg, M Gerard, L Fischer, V Moncollin, JM Chipoulet, P Chambon, L Zawel, L Fisher, J‐M Egly, R Roy, JP Adamczewski, T Seroz, W Vermeulen, JP Tassan, L Schaeffer, EA Nigg, JH Hoeijmakers, H Serizawa, TP Makela, RA Weinberg, RA Young, S Humbert, J Fishburn, E Tomko, E Galburt, S Hahn, S Grunberg, L Warfield, R Drapkin, JT Reardon, A Ansari, JC Huang, K Ahn, A Sancar, P Sung, V Bailly, C Weber, LH Thompson, L Prakash, S Prakash, E Park, SN Guzder, MH Koken, I Jaspers‐Dekker, G Weeda, Z Wang, WJ Feave, X Wu, DA Bushnell, CA Weber, EP Salazar, SA Stewart, P Di Lello, LM Jenkins, TN Jones, BD Nguyen, T Hara, H Yamaguchi, JD Dikeakos, E Appella, P Legault, JG Omichinski, LM Miller Jenkins, C Mas, C Langlois, E Malitskaya, A Fradet‐Turcotte, J Archambault, S Schilbach, M Hantsche, D Tegunov, C Dienemann, C Wigge, H Urlaub, P Cramer, M Fregoso, JP Laine, J Aguilar‐Fuentes, V Mocquet, E Reynaud, F Coin, M Zurita, A Jawhari, S Dubaele, V Lamour, A Poterszman, D Moras, SJ Araujo, F Tirode, H Pospiech, JE Syvaoja, M Stucki, U Hubscher, RD Wood, JC Marinoni, P Miniou, Y Lutz, DM Gomez, G Giglia‐Mari, JA Ranish, D Hoogstraten, A Theil, N Wijgers, NG Jaspers, A Raams, M Argentini, PJ van der Spek, E Botta, M Stefanini, R Aebersold, Y Lu, EC Yi, XJ Li, J Eng, M Herrera, C Braun, DE Kainov, M Vitorino, J Cavarelli, L Radu, E Schoenwetter, J Marcoux, W Koelmel, DR Schmitt, S Cianferani, C Rodolfo, S Fribourg, AM Pedrini, J Luo, P Cimermancic, S Viswanath, CC Ebmeier, B Kim, M Dehecq, V Raman, CH Greenberg, R Pellarin, A Sali, DJ Taatjes, J Ranish, R Shiekhattar, F Mermelstein, RP Fisher, B Dynlacht, HC Wessling, DO Morgan, FH Espinoza, A Farrell, H Erdjument‐Bromage, P Tempst, P Kaldis, A Sutton, MJ Solomon, JY Thuret, JG Valay, G Faye, C Mann, D Hermand, A Pihlak, T Westerling, V Damagnez, J Vandenhaute, G Cottarel, KM Lee, JE Saiz, WA Barton, K Helenius, Y Yang, TV Tselykh, HK Pessa, MJ Frilander, S Larochelle, J Batliner, MJ Gamble, NM Barboza, BC Kraybill, JD Blethrow, KM Shokat, J Chen, R Knights, J Pandur, P Morcillo, B Suter, S Frutiger, GJ Hughes, SA Patel, MC Simon, KY Yankulov, DL Bentley, M Rossignol, I Kolb‐Cheynel, S Inamoto, N Segil, ZQ Pan, M Kimura, RG Roeder, LJ Ko, SY Shieh, X Chen, L Jayaraman, K Tamai, Y Taya, C Prives, M Jaquenoud, AM Fry, D Busso, A Keriel, B Sandrock, O Gileadi, P Jin, HM Chamberlin, BJ Greber, THD Nguyen, J Fang, PV Afonine, PD Adams, E Nogales, BJ Gibbons, EJ Brignole, M Azubel, K Murakami, NR Voss, FJ Asturias, P Schultz, V Mallouh, V Oksenych, A Singh, E Compe, N Le May, W Abdulrahman, I Iltis, A Maglott‐Roth, C Giraudon, Y He, KL Tsai, N Kalisman, C Plaschka, C Burzinski, J Plitzko, C Yan, C Inouye, R Tjian, I Ivanov, BL Allen, A Dvir, KP Garrett, C Chalut, JA Goodrich, A Elias, G Michels, F Sauer, S Boeing, C Rigault, M Heidemann, D Eick, M Meisterernst, Y Kim, S Bjorklund, Y Li, MH Sayre, KD Meyer, S Lin, C Bernecky, Y Gao, D Nair, LC Myers, C Esnault, Y Ghavi‐Helm, S Brun, J Soutourina, N Van Berkum, C Boschiero, F Holstege, M Werner, JH Lee, HS Jung, A Gunzl, G Cai, AK Panigrahi, S Dunham‐Ems, TN Nguyen, JD Radolf, A Günzl, F Kouzine, D Wojtowicz, A Yamane, W Resch, KR Kieffer‐Kwon, R Bandle, S Nelson, H Nakahashi, P Awasthi, L Feigenbaum, H Menoni, J Hoeijmakers, H Ge, TM Przytycka, D Levens, R Casellas, T Kim, RH Ebright, L Spangler, X Wang, FM Fazal, CA Meng, SM Block, EJ Tomko, EA Galburt, B Bernardes de Jesus, A Zhovmer, PJ Mattei, RE Davis, H Jin, CD Kaplan, Y Liu, C Kung, AZ Ansari, KD Westover, P Cabart, A Ujvari, M Pal, DS Luse, K Tran, JD Gralla, RJ Moreland, Q Yan, KM Harlen, LS Churchman, PJ Robinson, MJ Trnka, AL Burlingame, AM Naar, W Zhai, J Fellows, A Gnatt, MS Akhtar, JR Tietjen, DW Zhang, RD Chapman, K Glover‐Cutter, B Erickson, C Zhang, K Shokat, M Kim, H Suh, EJ Cho, TM Sogaard, MA Allen, H Kim, N Fong, JR Jacobsen, K Liang, A Shilatifard, RD Dowell, WM Old, C Jeronimo, F Robert, KH Wong, Y Jin, K Struhl, H Kwak, JT Lis, A Mayer, M Lidschreiber, M Siebert, K Leike, J Soding, GT Booth, IX Wang, VG Cheung, K Adelman, JM Plitzko, A Missra, DS Gilmour, R Amat, M Sanso, JJ Allen, KA Nilson, J Guo, ME Turek, JE Brogie, E Delaney, DH Price, G Diamant, L Amir‐Zilberstein, Y Yamaguchi, H Handa, R Dikstein, J Fitz, T Neumann, R Pavri, JB Rodriguez‐Molina, SC Tseng, SP Simonett, J Taunton, A Shetty, SP Kallgren, C Demel, KC Maier, D Spatt, BH Alver, PJ Park, F Winston, L Viladevall, CV St Amour, A Rosebrock, S Schneider, B Schwer, JK Leatherwood, Q Zhou, T Li, RS Levin, JJ Lipp, VY Wang, AK Greifenberg, EM Quezada, A Ali, A Ghosh, TM Rana, M Geyer, L Tong, CK Ho, S Shuman, P Komarnitsky, SC Schroeder, D Bentley, SS Mandal, C Chu, T Wada, AJ Shatkin, Y Pei, FX Chen, AR Woodfin, A Gardini, RA Rickels, SA Marshall, ER Smith, P Xie, CK Collings, K Cao, Y Aoi, EJ Rendleman, M Ugarenko, PA Ozark, A Zhang, MQ Zhang, M Yu, W Yang, T Ni, Z Tang, T Nakadai, J Zhu, SW Hong, SM Hong, JW Yoo, YC Lee, S Kim, DK Lee, EI Kanin, RT Kipp, M Slattery, A Viale, S Moteki, D Price, SB Ficarro, UB Kang, Y Chun, JA Marto, M de la Mata, CR Alonso, S Kadener, JP Fededa, M Blaustein, F Pelisch, AR Kornblihtt, Y Zhou, X Ji, J Qiu, T Saldi, K Diener, K Jones, XD Fu, MJ Munoz, MS Perez Santangelo, MP Paronetto, S Boireau, C Ben‐Dov, JJ Lozano, G Bird, E Bertrand, T Nojima, T Gomes, AR Grosso, H Kimura, MJ Dye, S Dhir, M Carmo‐Fonseca, NJ Proudfoot, J di Iulio, S Maleri, U Eser, J Vierstra, A Reynolds, R Sandstrom, JA Stamatoyannopoulos, S Medler, W Luo, D Seward, JH Graber, DD Pollock, PC Megee, T Takagi, A Ferdous, T Imai, S Hirose, S Sugimoto, K Yano, GA Hartzog, KO Kizer, HP Phatnani, Y Shibata, H Hall, AL Greenleaf, BD Strahl, DG Skalnik, HH Ng, SM Yoh, JS Lucas, KA Jones, C Deans, KA Maggert, R Bonasio, S Tu, RT Coleman, G Struhl, LJ Gaydos, W Wang, S Strome, F Zenk, E Loeser, R Schiavo, F Kilpert, O Bogdanovic, N Iovino, M Morselli, WA Pastor, B Montanini, K Nee, R Ferrari, K Fu, G Bonora, L Rubbi, AT Clark, S Ottonello, SE Jacobsen, M Pellegrini, JM Simon, KE Hacker, D Singh, AR Brannon, JS Parker, M Weiser, TH Ho, PF Kuan, E Jonasch, TS Furey, JF Prins, JD Lieb, WK Rathmell, IJ Davis, P Kolasinska‐Zwierz, T Down, I Latorre, T Liu, XS Liu, J Ahringer, RF Luco, Q Pan, K Tominaga, BJ Blencowe, OM Pereira‐Smith, T Misteli, RJ Sims, S Millhouse, CF Chen, BA Lewis, JL Manley, P Bailey, AJ Levine, D Chen, T Riedl, E Washbrook, PE Pace, RC Coombes, S Ali, P Chymkowitch, P Charneau, A Stary, A Sarasin, C Rochette‐Egly, S Adam, P Beltrao, V Albanese, LR Kenner, DL Swaney, A Burlingame, J Villen, WA Lim, JS Fraser, J Frydman, NJ Krogan, FCP Holstege, PC van der Vliet, HTM Timmers, Y Ohkuma, L Lariviere, L Wenzeck, M Seizl, M Hemann, EV Petrotchenko, CH Borchers, W Baumeister, F Herzog, E Villa, S Akoulitchev, S Chuikov, S Malik, H Molina, Z Xue, GS Winkler, U Fiedler, HT Timmers, K Yoder, K Kraemer, M McIlhatton, F Bushman, R Fishel, KE Yoder, W Roddick, P Hoellerbauer, LT Gray, AC Vallur, J Eddy, N Maizels, D Rhodes, HJ Lipps, DJ Rossi, A Londesborough, N Korsisaari, E Lehtonen, M Henkemeyer, KA Merrick, ME Terret, L Wohlbold, PV Jallepalli, MM Schachter, A Hirschi, SM Rubin, HK Salz, AI Abdullah, H Zhang, Y Nie, W Tang, T Sun, M Ganuza, C Sáiz‐Ladera, M Cañamero, G Gómez, R Schneider, MA Blasco, D Pisano, JM Paramio, D Santamaría, M Barbacid, S Luo, HR Horvitz, G He, X Yang, G Wang, J Qi, R Mao, Z Wu, Z Zhou, E Korzus, MG Rosenfeld, M Mayford, JE Cleaver, ET Lam, I Revet, L Proietti De Santis, RJ Bienstock, B Van Houten, M Moriel‐Carretero, E Herrera‐Moyano, A Aguilera, S Mourgues, V Gautier, A Lagarou, C Bordier, A Mourcet, J Slingerland, L Kaddoum, A Gonzales de Peredo, B Monsarrat, PO Mari, R Velez‐Cruz, AS Zadorin, S Hashimoto, I Jaitovich‐Groisman, N Benlimame, BL Slagle, MH Perez, L Alpert, DJ Song, N Fotouhi‐Ardakani, J Galipeau, MA Alaoui‐Jamali, A Billecocq, M Bouloy, N Cyr, C de la Fuente, L Lecoq, I Guendel, PR Chabot, K Kehn‐Hall, B Kalveram, O Lihoradova, T Ikegami, TP Cujec, H Okamoto, K Fujinaga, J Meyer, H Chamberlin, BM Peterlin, CA Parada, YK Kim, CF Bourgeois, R Pearson, M Tyagi, MJ West, J Wong, SY Wu, CM Chiang, J Karn, C Hutterer, J Eickhoff, J Milbradt, K Korn, I Zeittrager, H Bahsi, S Wagner, G Zischinsky, A Wolf, C Degenhart, A Unger, M Baumann, B Klebl, M Marschall, B Li, T Ni Chonghaile, Y Fan, SF Madden, R Klinger, AE O'Connor, L Walsh, G O'Hurley, G Mallya Udupi, J Joseph, F Tarrant, E Conroy, A Gaber, SF Chin, HA Bardwell, E Provenzano, J Crown, T Dubois, S Linn, K Jirstrom, C Caldas, DP O'Connor, WM Gallagher, H Patel, R Abduljabbar, C‐F Lai, M Periyasamy, A Harrod, C Gemma, JH Steel, N Patel, C Busonero, D Jerjees, J Remenyi, S Smith, JJ Gomm, L Magnani, B Győrffy, LJ Jones, F Fuller‐Pace, S Shousha, L Buluwela, EA Rakha, IO Ellis, D Hnisz, BJ Abraham, TI Lee, A Lau, V Saint‐Andre, AA Sigova, HA Hoke, J Loven, CY Lin, DA Orlando, CR Vakoc, JE Bradner, S Pott, K Shrinivas, AK Chakraborty, PA Sharp, E Chipumuro, E Marco, CL Christensen, N Kwiatkowski, T Zhang, CM Hatheway, B Sharma, C Yeung, A Altabef, A Perez‐Atayde, KK Wong, GC Yuan, NS Gray, RE George, J Carretero, F Al‐Shahrour, GS Herter‐Sprie, EA Akbay, J Zhang, T Shimamura, M Capelletti, JB Reibel, JD Cavanaugh, P Gao, SR Michaelsen, HS Poulsen, AR Aref, DA Barbie, PB Rahl, J Reddy, A Dastur, A Amzallag, S Ramaswamy, B Tesar, CE Jenkins, NM Hannett, D McMillin, T Sanda, T Sim, ND Kim, T Look, CS Mitsiades, AP Weng, JR Brown, CH Benes, Y Wang, S Xie, H Yuzugullu, T Von, H Li, Z Lin, DG Stover, E Lim, ZC Wang, JD Iglehart, JJ Zhao, F Cayrol, P Praditsuktavorn, TM Fernando, R Marullo, MN Calvo‐Vidal, J Phillip, B Pera, SN Yang, K Takpradit, L Roman, M Gaudiano, R Crescenzo, J Ruan, G Inghirami, G Cremaschi, L Cerchietti, S Kalan, Y Liang, CM Olson, M Rusan, K Li, KA Buczkowski, B Bockorny, T Chen, S Li, K Rhee, W Chen, H Terai, T Tavares, AL Leggett, TJ Kim, SH Hong, N Poudel‐Neupane, M Silkes, T Mudianto, L Tan, M Meyerson, AJ Bass, H Watanabe, PS Hammerman, TW Kelso, K Baumgart, T Albert, C Antrecht, S Lemcke, AC Bishop, JA Ubersax, DT Petsch, DP Matheos, J Blethrow, E Shimizu, JZ Tsien, PG Schultz, MD Rose, JL Wood, QL He, DV Titov, J Li, M Tan, Z Ye, Y Zhao, D Romo, JO Liu, B Gilman, S Bhat, WK Low, Y Dang, M Smeaton, AL Demain, PS Miller, JF Kugel, F Chen, X Gao, SG Manzo, ZL Zhou, YQ Wang, J Marinello, JX He, YC Li, J Ding, G Capranico, ZH Miao, JJ Lu, L He, Q Yu, I Jonkers, LJ Core, JJ Waterfall, S Alekseev, M Ayadi, L Brino, AK Larsen, Z Nagy, J Sandoz, A Weiss, WW Tee, SS Shen, O Oksuz, V Narendra, J Baell, MA Walters, S Nagai, X Liu, T Wu, RK Louder, JR López‐Blanco, P Chacón, A Gegonne, JD Weissman, M Zhou, A Dasgupta, R Ribble, JN Brady, DS Singer, N Yudkovsky, AC Seila, JM Calabrese, SS Levine, GW Yeo, RA Flynn, M Okuda, M Kinoshita, E Kakumu, K Sugasawa, Y Nishimura, Y Nakazawa, C Guo, T Ogi, P Ruthemann, C Balbo Pogliano, T Codilupi, Z Garajova, H Naegeli, N Damodaren, T Van Eeuwen, J Zamel, E Lin‐Shiao Show less
Abstract TFIIH is a 10‐subunit complex that regulates RNA polymerase II (pol II) transcription but also serves other important biological roles. Although much remains unknown about TFIIH function in Show more
Abstract TFIIH is a 10‐subunit complex that regulates RNA polymerase II (pol II) transcription but also serves other important biological roles. Although much remains unknown about TFIIH function in eukaryotic cells, much progress has been made even in just the past few years, due in part to technological advances (e.g. cryoEM and single molecule methods) and the development of chemical inhibitors of TFIIH enzymes. This review focuses on the major cellular roles for TFIIH, with an emphasis on TFIIH function as a regulator of pol II transcription. We describe the structure of TFIIH and its roles in pol II initiation, promoter‐proximal pausing, elongation, and termination. We also discuss cellular roles for TFIIH beyond transcription (e.g. DNA repair, cell cycle regulation) and summarize small molecule inhibitors of TFIIH and diseases associated with defects in TFIIH structure and function. Show less
📄 PDF DOI: 10.1002/pro.3424
amino-acid review
NN Cotte, CB Thompson, R Iurlaro +94 more · 2018 · Nature communications · Nature · added 2026-04-20
Lipid droplet (LD) accumulation is a now well-recognised hallmark of cancer. However, the significance of LD accumulation in colorectal cancer (CRC) biology is incompletely understood under chemothera Show more
Lipid droplet (LD) accumulation is a now well-recognised hallmark of cancer. However, the significance of LD accumulation in colorectal cancer (CRC) biology is incompletely understood under chemotherapeutic conditions. Since drug resistance is a major obstacle to treatment success, we sought to determine the contribution of LD accumulation to chemotherapy resistance in CRC. Here we show that LD content of CRC cells positively correlates with the expression of lysophosphatidylcholine acyltransferase 2 (LPCAT2), an LD-localised enzyme supporting phosphatidylcholine synthesis. We also demonstrate that LD accumulation drives cell-death resistance to 5-fluorouracil and oxaliplatin treatments both in vitro and in vivo. Mechanistically, LD accumulation impairs caspase cascade activation and ER stress responses. Notably, droplet accumulation is associated with a reduction in immunogenic cell death and CD8 + T cell infiltration in mouse tumour grafts and metastatic tumours of CRC patients. Collectively our findings highlight LPCAT2-mediated LD accumulation as a druggable mechanism to restore CRC cell sensitivity. Show less
📄 PDF DOI: 10.1038/s41467-017-02732-5
immunogenic synthesis
Hui S, Ghergurovich JM, Morscher RJ +8 more · 2018 · Nature · Nature · added 2026-04-20
Mammalian tissues are fuelled by circulating nutrients, including glucose, amino acids, and various intermediary metabolites. Under aerobic conditions, glucose is generally assumed to be burned fully Show more
Mammalian tissues are fuelled by circulating nutrients, including glucose, amino acids, and various intermediary metabolites. Under aerobic conditions, glucose is generally assumed to be burned fully by tissues via the tricarboxylic acid cycle (TCA cycle) to carbon dioxide. Alternatively, glucose can be catabolized anaerobically via glycolysis to lactate, which is itself also a potential nutrient for tissues and tumours. The quantitative relevance of circulating lactate or other metabolic intermediates as fuels remains unclear. Here we systematically examine the fluxes of circulating metabolites in mice, and find that lactate can be a primary source of carbon for the TCA cycle and thus of energy. Intravenous infusions of 13C-labelled nutrients reveal that, on a molar basis, the circulatory turnover flux of lactate is the highest of all metabolites and exceeds that of glucose by 1.1-fold in fed mice and 2.5-fold in fasting mice; lactate is made primarily from glucose but also from other sources. In both fed and fasted mice, 13C-lactate extensively labels TCA cycle intermediates in all tissues. Quantitative analysis reveals that during the fasted state, the contribution of glucose to tissue TCA metabolism is primarily indirect (via circulating lactate) in all tissues except the brain. In genetically engineered lung and pancreatic cancer tumours in fasted mice, the contribution of circulating lactate to TCA cycle intermediates exceeds that of glucose, with glutamine making a larger contribution than lactate in pancreatic cancer. Thus, glycolysis and the TCA cycle are uncoupled at the level of lactate, which is a primary circulating TCA substrate in most tissues and tumours. Show less
no PDF DOI: 10.1038/nature24057
amino-acid
2017 · Advances in Heterocyclic Chemistry · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/bs.aihch.2016.12.003
tetrazole
Hui-juan Yu, Jiang-ping Liu, Zhi-feng Hao +5 more · 2017 · Dyes and Pigments · Elsevier · added 2026-05-01
📄 PDF DOI: 10.1016/j.dyepig.2016.08.059
Biometal
Singh A, Venkannagari S, Oh KH +22 more · 2017 · ACS Chemical Biology · ACS Publications · added 2026-04-20
Loss of function mutations in Kelch-like ECH Associated Protein 1 (KEAP1), or gain-of-function mutations in nuclear factor erythroid 2-related factor 2 (NRF2), are common in non-small cell lung cancer Show more
Loss of function mutations in Kelch-like ECH Associated Protein 1 (KEAP1), or gain-of-function mutations in nuclear factor erythroid 2-related factor 2 (NRF2), are common in non-small cell lung cancer (NSCLC) and associated with therapeutic resistance. To discover novel NRF2 inhibitors for targeted therapy, we conducted a quantitative high-throughput screen using a diverse set of ∼400 000 small molecules (Molecular Libraries Small Molecule Repository Library, MLSMR) at the National Center for Advancing Translational Sciences. We identified ML385 as a probe molecule that binds to NRF2 and inhibits its downstream target gene expression. Specifically, ML385 binds to Neh1, the Cap 'N' Collar Basic Leucine Zipper (CNC-bZIP) domain of NRF2, and interferes with the binding of the V-Maf Avian Musculoaponeurotic Fibrosarcoma Oncogene Homologue G (MAFG)-NRF2 protein complex to regulatory DNA binding sequences. In clonogenic assays, when used in combination with platinum-based drugs, doxorubicin or taxol, ML385 substantially enhances cytotoxicity in NSCLC cells, as compared to single agents. ML385 shows specificity and selectivity for NSCLC cells with KEAP1 mutation, leading to gain of NRF2 function. In preclinical models of NSCLC with gain of NRF2 function, ML385 in combination with carboplatin showed significant antitumor activity. We demonstrate the discovery and validation of ML385 as a novel and specific NRF2 inhibitor and conclude that targeting NRF2 may represent a promising strategy for the treatment of advanced NSCLC. Show less
no PDF DOI: 10.1021/acschembio.6b00651
DNA-binding Pt amino-acid anticancer
Riccardo Pettinari, Agnese Petrini, Fabio Marchetti +4 more · 2017 · European Journal of Inorganic Chemistry · Wiley · added 2026-05-01
📄 PDF DOI: 10.1002/ejic.201601164
Biometal
Martínez MÁ, Carranza MP, Massaguer A +11 more · 2017 · Inorganic Chemistry · ACS Publications · added 2026-05-01
The synthesis and characterization of Pt(II) (1 and 2) and Ru(II) arene (3 and 4) or polypyridine (5 and 6) complexes is described. With the aim of having a functional group to form bioconjugates, one Show more
The synthesis and characterization of Pt(II) (1 and 2) and Ru(II) arene (3 and 4) or polypyridine (5 and 6) complexes is described. With the aim of having a functional group to form bioconjugates, one uncoordinated carboxyl group has been introduced in all complexes. Some of the complexes were selected for their potential in photodynamic therapy (PDT). The molecular structures of complexes 2 and 5, as well as that of the sodium salt of the 4'-(4-carboxyphenyl)-2,2':6',2″-terpyridine ligand (cptpy), were determined by X-ray diffraction. Different techniques were used to evaluate the binding capacity to model DNA molecules, and MTT cytotoxicity assays were performed against four cell lines. Compounds 3, 4, and 5 showed little tendency to bind to DNA and exhibited poor biological activity. Compound 2 behaves as bonded to DNA probably through a covalent interaction, although its cytotoxicity was very low. Compound 1 and possibly 6, both of which contain a cptpy ligand, were able to intercalate with DNA, but toxicity was not observed for 6. However, compound 1 was active in all cell lines tested. Clonogenic assays and apoptosis induction studies were also performed on the PC-3 line for 1. The photodynamic behavior for complexes 1, 5, and 6 indicated that their nuclease activity was enhanced after irradiation at λ = 447 nm. The cell viability was significantly reduced only in the case of 5. The different behavior in the absence or presence of light makes complex 5 a potential prodrug of interest in PDT. Molecular docking studies followed by molecular dynamics simulations for 1 and the counterpart without the carboxyl group confirmed the experimental data that pointed to an intercalation mechanism. The cytotoxicity of 1 and the potential of 5 in PDT make them good candidates for subsequent conjugation, through the carboxyl group, to "selected peptides" which could facilitate the selective vectorization of the complex toward receptors that are overexpressed in neoplastic cell lines. Show less
📄 PDF DOI: 10.1021/acs.inorgchem.7b01178
Biometal
Chen MH, Wang FX, Cao JJ +3 more · 2017 · ACS Applied Materials & Interfaces · ACS Publications · added 2026-05-01
Phosphorescent Ir(III) complexes are expected to be new multifunctional theranostic platforms that enable the integration of imaging capabilities and anticancer properties. Mitophagy is an important s Show more
Phosphorescent Ir(III) complexes are expected to be new multifunctional theranostic platforms that enable the integration of imaging capabilities and anticancer properties. Mitophagy is an important selective autophagic process that degrades dysfunctional mitochondria. Until now, the regulation of mitophagy is still poorly understood. Herein, we present two phosphorescent cyclometalated iridium(III) complexes (Ir1 and Ir2) that can accumulate in mitochondria and induce mitophagy. Because of their intrinsic phosphorescence, they can specially image mitochondria and track mitochondrial morphological alterations. Mechanism studies show that Ir1 and Ir2 induce mitophagy by depolarization of mitochondrial membrane potential, depletion of cellular ATP, perturbation in mitochondrial metabolic status, and induction of oxidative stress. Moreover, no sign of apoptosis is observed in Ir1- and Ir2-treated cells under the same conditions that an obvious mitophagic response is initiated. We demonstrate that Ir1 is a promising theranostic agent that can induce mitophagy and visualize changes in mitochondrial morphology simultaneously. Show less
📄 PDF DOI: 10.1021/acsami.7b01735
Biometal
Anisimova, Tatyana B., Kinzhalov, Mikhail A., Guedes da Silva, M. Fátima C. +4 more · 2017 · New Journal of Chemistry · Royal Society of Chemistry · added 2026-05-10

Addition of hydrazone to gold(iii)–isocyanides led to the generation of rare short-lived gold(iii) acyclic diaminocarbene complexes.

📄 PDF DOI: 10.1039/c7nj00529f
carbene
Paranthaman Vijayan, Periasamy Viswanathamurthi, Paramasivam Sugumar +6 more · 2017 · Applied Organometallic Chemistry · Wiley · added 2026-05-01
📄 PDF DOI: 10.1002/aoc.3652
Biometal
2017 · Journal of Saudi Chemical Society · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.jscs.2015.07.003
DNA-binding Ni Zn synthesis tetrazole
2017 · Nature · Nature · added 2026-04-20
no PDF DOI: 10.1038/nature24057
2017 · Inorganica Chimica Acta · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.ica.2016.11.017
Pt anticancer
G. A. Kostin, A. A. Mikhailov, N. V. Kuratieva +3 more · 2017 · New Journal of Chemistry · Royal Society of Chemistry · added 2026-05-01
📄 PDF DOI: 10.1039/C7NJ01602F
Biometal
Wei J, Renfrew AK. · 2017 · Journal of Inorganic Biochemistry · Elsevier · added 2026-05-01
CHS-828 (N-(6-(4-chlorophenoxy)hexyl)-N'-cyano-N″-4-pyridyl guanidine) is an anticancer agent with low bioavailability and high systemic toxicity. Here we present an approach to improve the therapeuti Show more
CHS-828 (N-(6-(4-chlorophenoxy)hexyl)-N'-cyano-N″-4-pyridyl guanidine) is an anticancer agent with low bioavailability and high systemic toxicity. Here we present an approach to improve the therapeutic profile of the drug using photolabile ruthenium complexes to generate light-activated prodrugs of CHS-828. Both prodrug complexes are stable in the dark but release CHS-828 when irradiated with visible light. The complexes are water-soluble and accumulate in tumour cells in very high concentrations, predominantly in the mitochondria. Both prodrug complexes are significantly less cyototoxic than free CHS-828 in the dark but their toxicity increases up to 10-fold in combination with visible light. The cellular responses to light treatment are consistent with release of the cytotoxic CHS-828 ligand. Show less
📄 PDF DOI: 10.1016/j.jinorgbio.2017.11.018
Biometal
Li J, Guo L, Tian Z +5 more · 2017 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-01
Seven novel half-sandwich IrIII cyclopentadienyl complexes, [(η5-Cpx)Ir(N^N)Cl]PF6, have been prepared and characterized, where Cpx is Cp* or the Show more
Seven novel half-sandwich IrIII cyclopentadienyl complexes, [(η5-Cpx)Ir(N^N)Cl]PF6, have been prepared and characterized, where Cpx is Cp* or the biphenyl derivative Cpxbiph (C5Me4C6H4C6H5), and the N^N-chelating ligands are imino-pyridyl Schiff-bases. The X-ray crystal structures of complexes 2A, 2B, and 3A have been determined. Excitingly, most of the complexes show potent antiproliferative activity towards A549 and HeLa cancer cells, except for Cp* complex 1A towards HeLa cells. Cpxbiph complex 2B displayed the highest potency, about 19 and 6 times more active than the clinically used drug cisplatin toward A549 and HeLa cells, respectively. These complexes undergo hydrolysis, and the kinetics data have been calculated. DNA binding has been studied by interaction with nucleobases 9-ethylguanine and 9-methyladenine, cleavage of plasmid DNA, and interaction with ctDNA. Interaction with DNA does not appear to be the major mechanism of action. Protein binding (bovine serum albumin, BSA) has been established by UV-Vis, fluorescence and synchronous spectroscopic studies. The stability of complex 2B in the presence of GSH was evaluated. The complexes catalytically convert coenzyme NADH to NAD+via hydride transfer. Cpxbiph complexes 2B and 4B induce cell apoptosis and arrest cell cycles at the S and G2/M phases towards A549 cancer cells and increase the reactive oxygen species dramatically, which appear to contribute to the remarkable anticancer activity. Show less
📄 PDF DOI: 10.1039/C7DT03265J
Biometal
2017 · · Nature · added 2026-04-20
Iron-sulfur clusters are ancient cofactors that play a fundamental role in metabolism and may have impacted the prebiotic chemistry that led to life. However, it is unclear whether iron-sulfur cluster Show more
Iron-sulfur clusters are ancient cofactors that play a fundamental role in metabolism and may have impacted the prebiotic chemistry that led to life. However, it is unclear whether iron-sulfur clusters could have been synthesized on prebiotic Earth. Dissolved iron on early Earth was predominantly in the reduced ferrous state, but ferrous ions alone cannot form polynuclear iron-sulfur clusters. Similarly, free sulfide may not have been readily available. Here we show that UV light drives the synthesis of [2Fe-2S] and [4Fe-4S] clusters through the photooxidation of ferrous ions and the photolysis of organic thiols. Iron-sulfur clusters coordinate to and are stabilized by a wide range of cysteine-containing peptides and the assembly of iron-sulfur cluster-peptide complexes can take place within model protocells in a process that parallels extant pathways. Our experiments suggest that iron-sulfur clusters may have formed easily on early Earth, facilitating the emergence of an iron-sulfur-cluster-dependent metabolism. Show less
📄 PDF DOI: 10.1038/nchem.2817
Fe synthesis
Jieqiong Cao, Qiong Wu, Wenjie Zheng +2 more · 2017 · RSC Advances · Royal Society of Chemistry · added 2026-05-01
📄 PDF DOI: 10.1039/c7ra00658f
Biometal
2017 · Biochimica et Biophysica Acta (BBA) - Bioenergetics · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.bbabio.2017.03.006
mitochondria
Pingyu Zhang, Peter J. Sadler · 2017 · European Journal of Inorganic Chemistry · Wiley · added 2026-04-20
The redox properties of both metals and ligands in transition metal complexes offer unusual routes for new mechanisms of anticancer therapy. Metal complexes can introduce artificial reductive and oxid Show more
The redox properties of both metals and ligands in transition metal complexes offer unusual routes for new mechanisms of anticancer therapy. Metal complexes can introduce artificial reductive and oxidative stress into cancer cells, including behavior as photoactivatable agents and catalysts. Relatively inert metal complexes (“prodrugs”) can be activated by redox processes within cancer cells. Examples of pharmaceuticals activated by bioreduction include three PtIV and two RuIII compounds that have already entered clinical trials. More recently, novel CoIII, FeIII, PtIV, Ru(III/II), OsII, and IrIII complexes have been reported to exhibit redox‐mediated anticancer activity. Redox activation strategies can introduce new methods to increase cancer cell selectivity and combat drug resistance. Using combination therapy together with redox modulators to increase potency is also possible. This essay focuses on metal complexes that are activated in the reducing environment of cancer cells. Show less
no PDF DOI: 10.1002/ejic.201600908
ROS Ru anticancer catalysis coordination-chemistry photoactivated
Daina, Antoine, Michielin, Olivier, Zoete, Vincent · 2017 · Nature Publishing Group · Nature · added 2026-04-20
To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Dr Show more
To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Drug development involves assessment of absorption, distribution, metabolism and excretion (ADME) increasingly earlier in the discovery process, at a stage when considered compounds are numerous but access to the physical samples is limited. In that context, computer models constitute valid alternatives to experiments. Here, we present the new SwissADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal chemistry friendliness, among which in-house proficient methods such as the BOILED-Egg, iLOGP and Bioavailability Radar. Easy efficient input and interpretation are ensured thanks to a user-friendly interface through the login-free website http://www.swissadme.ch . Specialists, but also nonexpert in cheminformatics or computational chemistry can predict rapidly key parameters for a collection of molecules to support their drug discovery endeavours. Show less
📄 PDF DOI: 10.1038/srep42717
bioavailability cheminformatics computational chemistry computer models drug discovery drug-likeness in silico medicinal chemistry
West T, Sojo V, Pomiankowski A +1 more · 2017 · Philosophical transactions of the Royal Society of London. Series B, Biological sciences · The Royal Society · added 2026-04-20
Here we develop a computational model that examines one of the first major biological innovations-the origin of heredity in simple protocells. The model assumes that the earliest protocells were autot Show more
Here we develop a computational model that examines one of the first major biological innovations-the origin of heredity in simple protocells. The model assumes that the earliest protocells were autotrophic, producing organic matter from CO2 and H2 Carbon fixation was facilitated by geologically sustained proton gradients across fatty acid membranes, via iron-sulfur nanocrystals lodged within the membranes. Thermodynamic models suggest that organics formed this way should include amino acids and fatty acids. We assume that fatty acids partition to the membrane. Some hydrophobic amino acids chelate FeS nanocrystals, producing three positive feedbacks: (i) an increase in catalytic surface area; (ii) partitioning of FeS nanocrystals to the membrane; and (iii) a proton-motive active site for carbon fixing that mimics the enzyme Ech. These positive feedbacks enable the fastest-growing protocells to dominate the early ecosystem through a simple form of heredity. We propose that as new organics are produced inside the protocells, the localized high-energy environment is more likely to form ribonucleotides, linking RNA replication to its ability to drive protocell growth from the beginning. Our novel conceptualization sets out conditions under which protocell heredity and competition could arise, and points to where crucial experimental work is required.This article is part of the themed issue 'Process and pattern in innovations from cells to societies'. Show less
📄 PDF DOI: 10.1098/rstb.2016.0419
Fe amino-acid
Azar DF, Audi H, Farhat S +3 more · 2017 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-01
A photochemically dissociating ligand in Ru(bpy)2(dmphen)Cl2 [bpy = 2,2'-bipyridine; dmphen = 2,9-dimethyl-1,10-phenanthroline] was found to be more cytotoxic on the ML-2 Acute M Show more
A photochemically dissociating ligand in Ru(bpy)2(dmphen)Cl2 [bpy = 2,2'-bipyridine; dmphen = 2,9-dimethyl-1,10-phenanthroline] was found to be more cytotoxic on the ML-2 Acute Myeloid Leukemia cell line than Ru(bpy)2(H2O)22+ and prototypical cisplatin. Our findings illustrate the potential potency of diimine ligands in photoactivatable Ru(ii) complexes. Show less
📄 PDF DOI: 10.1039/c7dt02255g
Biometal
Ai Shinobu, Noam Agmon · 2017 · Journal of chemical theory and computation · ACS Publications · added 2026-04-20
Inside proteins, protons move on proton wires (PWs). Starting from the highest resolution X-ray structure available, we conduct a 306 ns molecular dynamics simulation of the (A-state) wild-type (wt) g Show more
Inside proteins, protons move on proton wires (PWs). Starting from the highest resolution X-ray structure available, we conduct a 306 ns molecular dynamics simulation of the (A-state) wild-type (wt) green fluorescent protein (GFP) to study how its PWs change with time. We find that the PW from the chromophore via Ser205 to Glu222, observed in all X-ray structures, undergoes rapid water molecule insertion between Ser205 and Glu222. Sometimes, an alternate Ser205-bypassing PW exists. Side chain rotations of Thr203 and Ser205 play an important role in shaping the PW network in the chromophore region. Thr203, with its bulkier side chain, exhibits slower transitions between its three rotameric states. Ser205 experiences more frequent rotations, slowing down when the Thr203 methyl group is close by. The combined states of both residues affect the PW probabilities. A random walk search for PWs from the chromophore reveals several exit points to the bulk, one being a direct water wire (WW) from the chromophore to the bulk. A longer WW connects the "bottom" of the GFP barrel with a "water pool" (WP1) situated below Glu222. These two WWs were not observed in X-ray structures of wt-GFP, but their analogues have been reported in related fluorescent proteins. Surprisingly, the high-resolution X-ray structure utilized herein shows that Glu222 is protonated at low temperatures. At higher temperatures, we suggest ion pairing between anionic Glu222 and a proton hosted in WP1. Upon photoexcitation, these two recombine, while a second proton dissociates from the chromophore and either exits the protein using the short WW or migrates along the GFP-barrel axis on the long WW. This mechanism reconciles the conflicting experimental and theoretical data on proton motion within GFP. Show less
no PDF DOI: 10.1021/acs.jctc.6b00939
X-ray amino-acid imaging
Rebecca R J Collins, Khushbu Patel, William C Putnam +2 more · 2017 · Clinical chemistry · added 2026-04-20
BACKGROUND: Pediatric clinical laboratories commonly measure tricarboxylic acid cycle intermediates for screening, diagnosis, and monitoring of specific inborn errors of metabolism, such as organic ac Show more
BACKGROUND: Pediatric clinical laboratories commonly measure tricarboxylic acid cycle intermediates for screening, diagnosis, and monitoring of specific inborn errors of metabolism, such as organic acidurias. In the past decade, the same tricarboxylic acid cycle metabolites have been implicated and studied in cancer. The accumulation of these metabolites in certain cancers not only serves as a biomarker but also directly contributes to cellular transformation, therefore earning them the designation of oncometabolites. CONTENT: D-2-hydroxyglutarate, L-2-hydroxyglutarate, succinate, and fumarate are the currently recognized oncometabolites. They are structurally similar and share metabolic proximity in the tricarboxylic acid cycle. As a result, they promote tumorigenesis in cancer cells through similar mechanisms. This review summarizes the currently understood common and distinct biological features of these compounds. In addition, we will review the current laboratory methodologies that can be used to quantify these metabolites and their downstream targets. SUMMARY: Oncometabolites play an important role in cancer biology. The metabolic pathways that lead to the production of oncometabolites and the downstream signaling pathways that are activated by oncometabolites represent potential therapeutic targets. Clinical laboratories have a critical role to play in the management of oncometabolite-associated cancers through development and validation of sensitive and specific assays that measure oncometabolites and their downstream effectors. These assays can be used as screening tools and for follow-up to measure response to treatment, as well as to detect minimal residual disease and recurrence. Show less
no PDF DOI: 10.1373/clinchem.2016.267666
review
Rajendra Prasad Paitandi, Roop Shikha Singh, Sujay Mukhopadhyay +4 more · 2017 · Inorganica Chimica Acta · Elsevier · added 2026-05-01
📄 PDF DOI: 10.1016/j.ica.2016.03.003
Biometal
Irace C, Misso G, Capuozzo A +7 more · 2017 · Scientific Reports · Nature · added 2026-05-01
Looking for new metal-based anticancer treatments, in recent years many ruthenium complexes have been proposed as effective and safe potential drugs. In this context we have recently developed a novel Show more
Looking for new metal-based anticancer treatments, in recent years many ruthenium complexes have been proposed as effective and safe potential drugs. In this context we have recently developed a novel approach for the in vivo delivery of Ru(III) complexes, preparing stable ruthenium-based nucleolipidic nanoaggregates endowed with significant antiproliferative activity. Herein we describe the cellular response to our ruthenium-containing formulations in selected models of human breast cancer. By in vitro bioscreens in the context of preclinical studies, we have focused on their ability to inhibit breast cancer cell proliferation by the activation of the intrinsic apoptotic pathway, possibly via mitochondrial perturbations involving Bcl-2 family members and predisposing to programmed cell death. In addition, the most efficient ruthenium-containing cationic nanoaggregates we have hitherto developed are able to elicit both extrinsic and intrinsic apoptosis, as well as autophagy. To limit chemoresistance and counteract uncontrolled proliferation, multiple cell death pathways activation by metal-based chemotherapeutics is a challenging, yet very promising strategy for targeted therapy development in aggressive cancer diseases, such as triple-negative breast cancer with limited treatment options. These outcomes provide valuable, original knowledge on ruthenium-based candidate drugs and new insights for future optimized cancer treatment protocols. Show less
📄 PDF DOI: 10.1038/srep45236
Biometal apoptosis autophagy
2017 · Breast Cancer Research · BioMed Central · added 2026-04-20

Background

Breast cancer cell lines are frequently used as model systems to study the cellular properties and biology of breast cancer. Our objective was to characterize a large, commonly empl Show more

Background

Breast cancer cell lines are frequently used as model systems to study the cellular properties and biology of breast cancer. Our objective was to characterize a large, commonly employed panel of breast cancer cell lines obtained from the American Type Culture Collection (ATCC 30-4500 K) to enable researchers to make more informed decisions in selecting cell lines for specific studies. Information about these cell lines was obtained from a wide variety of sources. In addition, new information about cellular pathways that are activated within each cell line was generated.

Methods

We determined key protein expression data using immunoblot analyses. In addition, two analyses on serum-starved cells were carried out to identify cellular proteins and pathways that are activated in these cells. These analyses were performed using a commercial PathScan array and a novel and more extensive phosphopeptide-based kinome analysis that queries 1290 phosphorylation events in major signaling pathways. Data about this panel of breast cancer cell lines was also accessed from several online sources, compiled and summarized for the following areas: molecular classification, mRNA expression, mutational status of key proteins and other possible cancer-associated mutations, and the tumorigenic and metastatic capacity in mouse xenograft models of breast cancer.

Results

The cell lines that were characterized included 10 estrogen receptor (ER)-positive, 12 human epidermal growth factor receptor 2 (HER2)-amplified and 18 triple negative breast cancer cell lines, in addition to 4 non-tumorigenic breast cell lines. Within each subtype, there was significant genetic heterogeneity that could impact both the selection of model cell lines and the interpretation of the results obtained. To capture the net activation of key signaling pathways as a result of these mutational combinations, profiled pathway activation status was examined. This provided further clarity for which cell lines were particularly deregulated in common or unique ways.

Conclusions

These two new kinase or "Kin-OMIC" analyses add another dimension of important data about these frequently used breast cancer cell lines. This will assist researchers in selecting the most appropriate cell lines to use for breast cancer studies and provide context for the interpretation of the emerging results. Show less
📄 PDF DOI: 10.1186/s13058-017-0855-0
breast cancer cancer cancer research cell biology cell signaling cellular pathways immunoblot molecular biology
Marion Graf, Yvonne Gothe, Nils Metzler‐Nolte +1 more · 2017 · Zeitschrift für anorganische und allgemeine Chemie · Wiley · added 2026-05-01
📄 PDF DOI: 10.1002/zaac.201600378
Biometal