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⚗️ 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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375 articles with selected tags
Youssef El Khoury, Petra Hellwig · 2017 · Chemical Communications · Royal Society of Chemistry · added 2026-04-20
Far infrared spectroscopy is a technique that allows the probing of the low frequency region of vibrational spectra and reveals, among others, vibrational modes of inter- and intramolecular hy Show more
Far infrared spectroscopy is a technique that allows the probing of the low frequency region of vibrational spectra and reveals, among others, vibrational modes of inter- and intramolecular hydrogen bonding. Due to their collective nature, these modes are highly sensitive to the conformational state of the molecules as well as to their interactions. Far infrared spectroscopy is thus an emerging technique for the characterization of the low frequency motions of complex molecules, including polymers, peptides, proteins or ionic liquids. This technique is not limited by the molecule’s size and can be applied to solids and liquids. An overview of far infrared studies on complex structures and their interactions is given revealing the potential of the approach. Show less
no PDF DOI: 10.1039/C7CC03496B
review
Qian Cao, Yi Li, Eva Freisinger +3 more · 2017 · Inorganic Chemistry Frontiers · Royal Society of Chemistry · added 2026-04-20
Although cisplatin and its analogues have been widely utilized as anticancer metallodrugs in clinics, their serious side effects and damage to normal tissues cannot be avoided because cisplati Show more
Although cisplatin and its analogues have been widely utilized as anticancer metallodrugs in clinics, their serious side effects and damage to normal tissues cannot be avoided because cisplatin kills cancer cells by attacking genomic DNA. Thus the design of metallodrugs possessing different actions of anti-cancer mechanism is promising. G-quadruplex nucleic acid, which is formed by self-assembly of guanine-rich nucleic acid sequences, has recently been considered as an attractive target for anticancer drug design. The basic unit of a G-quadruplex is a G-quartet, a planar motif generated from four guanine residues pairing together through Hoogsteen like hydrogen bonds. DNA G-quadruplex (G4) structures exist in the chromosomal telomeric sequences and the promoter regions of numerous genes, including oncogenetic promoters. Formation of G4 structures within the 3′-overhang of telomeric DNA can inhibit the telomerase activity, which is silent in normal cells but up-regulated in most cancer cells, thus significantly shortening telomeres and preventing cancer cell proliferation and immortalization. Intramolecular G4 structures formed within the oncogene promoter regions can effectively inhibit oncogenen transcription and expression. Thus rational design of small molecular ligands to selectively interact, stabilize or cleave G4 structures is a promising strategy for developing potent anti-cancer drugs with selective toxicity towards cancer cells over normal ones. This review will highlight the recent development of G4-interacting metal complexes, termed G4-ligands, discussing their binding modes with G-quadruplex DNA and their potential to serve as anticancer drugs in the medical field. Introduction to the international collaboration The collaboration between Prof. Zong-Wan Mao from Sun Yat-Sen University, P. R. China and Prof. Roland K. O. Sigel from the University of Zurich, Switzerland officially began in January, 2014. The international collaborative research project titled “Chemical Biology Research of New Metallodrugs for Cancer Therapy” is supported by the Science and Technology Program of Guangdong Provincial Government [20130501c]. With the rapid development of tumor molecular pharmacology, molecular targeted anti-tumor drugs have become a hot spot in the research of cancer therapy. This international collaborative research project combines the computer simulation and in vitro drug screening platform to design a series of metallodrugs that are systematic and have structural diversity, which can target specific nucleic acid structures (e.g. G-quadruplexes), key proteins (DNA topoisomerase, telomerase, CDK kinase) associated with the occurrence and development of tumor. With the advantages of both laboratories, the structural–functional relationship, interaction modes, co-crystallization, and mechanisms of action of these newly designed metallodrugs are intensively studied, and their in vitro and in vivo anti-tumor activities are comprehensively evaluated. Show less
📄 PDF DOI: 10.1039/C6QI00300A
Co anticancer coordination-chemistry review
Jiří Kozelka · 2017 · European biophysics journal : EBJ · Springer · added 2026-04-20
Lone pair-π interactions are now recognized as a supramolecular bond whose existence in biological systems is documented by a growing number of examples. They are commonly attributed to electrostatic Show more
Lone pair-π interactions are now recognized as a supramolecular bond whose existence in biological systems is documented by a growing number of examples. They are commonly attributed to electrostatic forces. This review attempts to highlight some recent discoveries evidencing the important role which lone pair-π interactions, and anion-π interactions in particular, play in stabilizing the structure and affecting the function of biomolecules. Special attention is paid to studies exploring the physical origin of these at first glance counterintuitive interactions between a lone pair of electrons of one residue and the π-cloud of another. Recent theoretical work went beyond the popular electrostatic model and inquired the extent to which orbital interactions have to be taken into account. In at least one biologically relevant case-that of anion-flavin interactions-a substantial charge-transfer component has been shown to operate. Show less
no PDF DOI: 10.1007/s00249-017-1210-1
review
Mettert EL, Kiley PJ · 2016 · Annual review of microbiology · added 2026-04-20
Iron-sulfur (Fe-S) clusters are fundamental to numerous biological processes in most organisms, but these protein cofactors can be prone to damage by various oxidants (e.g., O2, reactive oxygen specie Show more
Iron-sulfur (Fe-S) clusters are fundamental to numerous biological processes in most organisms, but these protein cofactors can be prone to damage by various oxidants (e.g., O2, reactive oxygen species, and reactive nitrogen species) and toxic levels of certain metals (e.g., cobalt and copper). Furthermore, their synthesis can also be directly influenced by the level of available iron in the environment. Consequently, the cellular need for Fe-S cluster biogenesis varies with fluctuating growth conditions. To accommodate changes in Fe-S demand, microorganisms employ diverse regulatory strategies to tailor Fe-S cluster biogenesis according to their surroundings. Here, we review the mechanisms that regulate Fe-S cluster formation in bacteria, primarily focusing on control of the Isc and Suf Fe-S cluster biogenesis systems in the model bacterium Escherichia coli. Show less
no PDF DOI: 10.1146/annurev-micro-091014-104457
Co Cu Fe ROS amino-acid review synthesis
R David Britt, Emma Raven · 2016 · Current opinion in chemical biology · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.cbpa.2016.04.006
review
Leonardo C Andrade-Lima, Artur Veloso, Mats Ljungman · 2015 · Biomolecules · MDPI · added 2026-04-20
Environmental agents are constantly challenging cells by damaging DNA, leading to the blockage of transcription elongation. How do cells deal with transcription-blockage and how is transcription resta Show more
Environmental agents are constantly challenging cells by damaging DNA, leading to the blockage of transcription elongation. How do cells deal with transcription-blockage and how is transcription restarted after the blocking lesions are removed? Here we review the processes responsible for the removal of transcription-blocking lesions, as well as mechanisms of transcription restart. We also discuss recent data suggesting that blocked RNA polymerases may not resume transcription from the site of the lesion following its removal but, rather, are forced to start over from the beginning of genes. Show less
no PDF DOI: 10.3390/biom5031600
review
Benjamin J Pages, Dale L Ang, Elisé P Wright +1 more · 2015 · Dalton Transactions · Royal Society of Chemistry · added 2026-04-20
Increasing numbers of DNA structures are being revealed using biophysical, spectroscopic and genomic methods. The diversity of transition metal complexes is also growing, as the unique contributions t Show more
Increasing numbers of DNA structures are being revealed using biophysical, spectroscopic and genomic methods. The diversity of transition metal complexes is also growing, as the unique contributions that transition metals bring to the overall structure of metal complexes depend on the various coordination numbers, geometries, physiologically relevant redox potentials, as well as kinetic and thermodynamic characteristics. The vast range of ligands that can be utilised must also be considered. Given this diversity, a variety of biological interactions is not unexpected. Specifically, interactions with negatively-charged DNA can arise due to covalent/coordinate or subtle non-coordinate interactions such as electrostatic attraction, groove binding and intercalation as well as combinations of all of these modes. The potential of metal complexes as therapeutic agents is but one aspect of their utility. Complexes, both new and old, are currently being utilised in conjunction with spectroscopic and biological techniques to probe the interactions of DNA and its many structural forms. Here we present a review of metal complex-DNA interactions in which several binding modes and DNA structural forms are explored. Show less
no PDF DOI: 10.1039/c4dt02700k
coordination-chemistry review
Ana Sebio, Sebio, Ana, Heinz-Josef Lenz +1 more · 2015 · Springer US · Springer · added 2026-04-20
Colorectal cancer is a highly complex and heterogeneous disease. Since Vogelstein’s description of a colorectal cancer model almost 30 years ago, significant advances have been made to better characte Show more
Colorectal cancer is a highly complex and heterogeneous disease. Since Vogelstein’s description of a colorectal cancer model almost 30 years ago, significant advances have been made to better characterize and classify colorectal tumors. The technological advances in the past few years have favored a deeper analysis of the genetic and epigenetic features that characterize colorectal tumors, leading to several molecular classifications. Although not always consistent, these analyses have shed light on the molecular features that shape colorectal tumors. In recent times, consensus groups and collaborations are joining forces to provide a single comprehensive colorectal cancer molecular classification that includes genetic, epigenetic, and clinical features. Here, we review what is new in the molecular taxonomy of colorectal cancers and the clinical implications of these classifications. Show less
no PDF DOI: 10.1007/s11888-015-0267-4
review
N. P. Farrell · 2015 · Chemical Society Reviews · Royal Society of Chemistry · added 2026-04-20
This tutorial review summarizes chemical, biophysical and cellular biological properties of formally substitution-inert “non-covalent” polynuclear platinum complexes (PPCs). We demonstrate how Show more
This tutorial review summarizes chemical, biophysical and cellular biological properties of formally substitution-inert “non-covalent” polynuclear platinum complexes (PPCs). We demonstrate how modulation of the pharmacological factors affecting platinum compound cytotoxicity such as cellular accumulation, reactivity toward extracellular and intracellular sulfur–ligand nucleophiles and consequences of DNA binding is achieved to afford a profile of biological activity distinct from that of covalently-binding agents. The DNA binding of substitution-inert complexes is achieved by molecular recognition through minor groove spanning and backbone tracking of the phosphate clamp. In this situation, the square-planar tetra-am(m)ine Pt(II) coordination units hydrogen bond to phosphate oxygen OP atoms to form bidentate N–O–N motifs. The modular nature of the polynuclear compounds results in high-affinity binding to DNA and very efficient nuclear condensation. These combined effects distinguish the phosphate clamp as a third mode of ligand–DNA binding, discrete from intercalation and minor-groove binding. The cellular consequences mirror those of the biophysical studies and a significant portion of nuclear DNA is compacted, a unique effect different from mitosis, senescence or apoptosis. Substitution-inert PPCs display cytotoxicity similar to cisplatin in a wide range of cell lines, and sensitivity is indifferent to p53 status. Cellular accumulation is mediated through binding to heparan sulfate proteoglycans (HSPG) allowing for possibilities of tumor selectivity as well as disruption of HSPG function, opening new targets for platinum antitumor agents. The combined properties show that covalently-binding chemotypes are not the unique arbiters of cytotoxicity and antitumor activity and meaningful antitumor profiles can be achieved even in the absence of Pt–DNA bond formation. These dual properties make the substitution-inert compounds a unique class of inherently dual-action anti-cancer agents. Show less
📄 PDF DOI: 10.1039/C5CS00201J
DNA-binding Pt anticancer review
Eva Martinez-Balibrea, Anna Martínez-Cardús, Alba Ginés +8 more · 2015 · Molecular cancer therapeutics · added 2026-04-20
Oxaliplatin was the first platinum drug with proven activity against colorectal tumors, becoming a standard in the management of this malignancy. It is also considered for the treatment of pancreatic Show more
Oxaliplatin was the first platinum drug with proven activity against colorectal tumors, becoming a standard in the management of this malignancy. It is also considered for the treatment of pancreatic and gastric cancers. However, a major reason for treatment failure still is the existence of tumor intrinsic or acquired resistance. Consequently, it is important to understand the molecular mechanisms underlying the appearance of this phenomenon to find ways of circumventing it and to improve and optimize treatments. This review will be focused on recent discoveries about oxaliplatin tumor-related resistance mechanisms, including alterations in transport, detoxification, DNA damage response and repair, cell death (apoptotic and nonapoptotic), and epigenetic mechanisms. Show less
no PDF DOI: 10.1158/1535-7163.MCT-14-0636
DNA-binding Pt review
Anant R. Kapdi, Ian J. S. Fairlamb · 2014 · Chemical Society Reviews · Royal Society of Chemistry · added 2026-04-20
Much success has been achieved with platinum-based chemotherapeutic agents, i.e. through interactions with DNA. The long-term application of Pt complexes is thwarted by issues, leading scienti Show more
Much success has been achieved with platinum-based chemotherapeutic agents, i.e. through interactions with DNA. The long-term application of Pt complexes is thwarted by issues, leading scientists to examine other metals such as palladium which could exhibit complementary modes of action (given emphasis wherever known). Over the last 10 years several research groups have focused on the application of an eclectic array of palladium complexes (of the type PdX2L2, palladacycles and related structures) as potential anti-cancer agents. This review therefore provides readers with an up to date account of the advances that have taken place over the past several decades. Show less
📄 PDF DOI: 10.1039/C4CS00063C
Pd Pt review
Liang Xu, Linati Da, Steven W Plouffe +3 more · 2014 · DNA repair · Elsevier · added 2026-04-20
Maintaining high transcriptional fidelity is essential for life. Some DNA lesions lead to significant changes in transcriptional fidelity. In this review, we will summarize recent progress towards und Show more
Maintaining high transcriptional fidelity is essential for life. Some DNA lesions lead to significant changes in transcriptional fidelity. In this review, we will summarize recent progress towards understanding the molecular basis of RNA polymerase II (Pol II) transcriptional fidelity and DNA lesion-induced transcriptional mutagenesis. In particular, we will focus on the three key checkpoint steps of controlling Pol II transcriptional fidelity: insertion (specific nucleotide selection and incorporation), extension (differentiation of RNA transcript extension of a matched over mismatched 3'-RNA terminus), and proofreading (preferential removal of misincorporated nucleotides from the 3'-RNA end). We will also discuss some novel insights into the molecular basis and chemical perspectives of controlling Pol II transcriptional fidelity through structural, computational, and chemical biology approaches. Show less
no PDF DOI: 10.1016/j.dnarep.2014.03.024
review
2014 · Oncology Reviews · added 2026-04-20
Platinum-based chemotherapy agents initially transformed cancer treatment. However their effectiveness peaked as combined regimes showed little additional benefit in trials. New research front Show more
Platinum-based chemotherapy agents initially transformed cancer treatment. However their effectiveness peaked as combined regimes showed little additional benefit in trials. New research frontiers developed with the discovery that conventional chemotherapy can induce immunological cell death by recruiting high mobility group box 1 protein through T-cell immunity. Simultaneously monoclonal antibody agents (not effective as monotherapies) showed good results in combination with conventional chemotherapy. Some of these combinations are currently in use and researchers hope to develop regimes which can offer substantial benefits. Several resistance mechanisms against platinum compounds are known, but more knowledge is still needed to gain a full understanding. It seems reasonable therefore to revisit the pharmacology of these agents, which may also lead to identify rational combinations with monoclonal agents providing regimes with less toxicity and better efficacy. This article reviews the pharmacology of cisplatin and oxaliplatin and explores their possible association with monoclonal antibody treatments. Show less
no PDF DOI: 10.4081/oncol.2014.256
immunogenic review
2014 · Briefings in Bioinformatics · Oxford University Press · added 2026-04-20
no PDF DOI: 10.1093/bib/bbt056
ML review
Giuseppe Paradies, Valeria Paradies, Valentina De Benedictis +2 more · 2014 · Biochimica et biophysica acta · Elsevier · added 2026-04-20
Cardiolipin is a unique phospholipid which is almost exclusively located in the inner mitochondrial membrane where it is biosynthesized. Considerable progress has recently been made in understanding t Show more
Cardiolipin is a unique phospholipid which is almost exclusively located in the inner mitochondrial membrane where it is biosynthesized. Considerable progress has recently been made in understanding the role of cardiolipin in mitochondrial function and bioenergetics. This phospholipid is associated with membranes designed to generate an electrochemical gradient that is used to produce ATP, such as bacterial plasma membranes and inner mitochondrial membrane. This ubiquitous and intimate association between cardiolipin and energy transducing membranes indicates an important role for cardiolipin in mitochondrial bioenergetic processes. Cardiolipin has been shown to interact with a number of proteins, including the respiratory chain complexes and substrate carrier proteins. Over the past decade, the significance of cardiolipin in the organization of components of the electron transport chain into higher order assemblies, termed respiratory supercomplexes, has been established. Moreover, cardiolipin is involved in different stages of the mitochondrial apoptotic process, as well as in mitochondrial membrane stability and dynamics. This review discusses the current understanding of the functional role that cardiolipin plays in several reactions and processes involved in mitochondrial bioenergetics. This article is part of a Special Issue entitled: Dynamic and ultrastructure of bioenergetic membranes and their components. Show less
no PDF DOI: 10.1016/j.bbabio.2013.10.006
mitochondria review
2014 · · added 2026-04-20
Platinum-based chemotherapy made a paradigm shift in the treatment of different cancers initially; however, the success of these agents may have reached the peak as researchers have tried different co Show more
Platinum-based chemotherapy made a paradigm shift in the treatment of different cancers initially; however, the success of these agents may have reached the peak as researchers have tried different combination regimes in different trials without having major differences in the end results. New frontiers of research were opened up firstly with this discovery that conventional chemo-radiation therapy can induce immunological cell death by recruiting high-mobility group box 1 (HMGB1) protein which triggers the T cell immunity and secondly monoclonal antibodies agents which were regrettably not effective as "monotherapy"; however, the combination with conventional chemotherapy had demonstrated good results. Different monoclonal antibodies and conventional chemotherapeutic combination regimes are currently in use and researchers are trying different other combinations as well to glean the maximum benefits from them. Several strategies conferring resistance to platinum compounds have been identified, but there is still significant research required to achieve full understanding of these resistance mechanisms to overcome the ineffectiveness or toxicities of platinum compounds. It seems reasonable in the current perspective when conventional chemotherapeutic agents exhibited immunogenic cell death and they are currently in use with monoclonal antibodies to revisit the platinum agent's pharmacology. This may discover new basis for combination chemotherapy with monoclonal antibodies which may improve the current cancer treatments by opening new vistas for newer combination regimes with less toxicity and better efficacy. In this article we review the pharmacologies of both cisplatin and oxaliplatin in the drug development perspectives and explore the possible association of these drugs with monoclonal antibodies. Show less
📄 PDF DOI: 10.14740/wjon830w
immunogenic review
Hao Ding, Ichigaku Takigawa, Hiroshi Mamitsuka +1 more · 2014 · Briefings in bioinformatics · Oxford University Press · added 2026-04-20
Computationally predicting drug-target interactions is useful to select possible drug (or target) candidates for further biochemical verification. We focus on machine learning-based approaches, partic Show more
Computationally predicting drug-target interactions is useful to select possible drug (or target) candidates for further biochemical verification. We focus on machine learning-based approaches, particularly similarity-based methods that use drug and target similarities, which show relationships among drugs and those among targets, respectively. These two similarities represent two emerging concepts, the chemical space and the genomic space. Typically, the methods combine these two types of similarities to generate models for predicting new drug-target interactions. This process is also closely related to a lot of work in pharmacogenomics or chemical biology that attempt to understand the relationships between the chemical and genomic spaces. This background makes the similarity-based approaches attractive and promising. This article reviews the similarity-based machine learning methods for predicting drug-target interactions, which are state-of-the-art and have aroused great interest in bioinformatics. We describe each of these methods briefly, and empirically compare these methods under a uniform experimental setting to explore their advantages and limitations. Show less
no PDF DOI: 10.1093/bib/bbt056
ML review
Keith U Ingold, Derek A Pratt · 2014 · Chemical Reviews · ACS Publications · added 2026-04-20
📄 PDF DOI: 10.1021/cr500226n
review
Antonio Ayala, Mario F. Muñoz, Sandro Argüelles · 2014 · Oxidative Medicine and Cellular Longevity · added 2026-04-20
Lipid peroxidation can be described generally as a process under which oxidants such as free radicals attack lipids containing carbon-carbon double bond(s), especially polyunsaturated fatty acids (PUF Show more
Lipid peroxidation can be described generally as a process under which oxidants such as free radicals attack lipids containing carbon-carbon double bond(s), especially polyunsaturated fatty acids (PUFAs). Over the last four decades, an extensive body of literature regarding lipid peroxidation has shown its important role in cell biology and human health. Since the early 1970s, the total published research articles on the topic of lipid peroxidation was 98 (1970–1974) and has been increasing at almost 135-fold, by up to 13165 in last 4 years (2010–2013). New discoveries about the involvement in cellular physiology and pathology, as well as the control of lipid peroxidation, continue to emerge every day. Given the enormity of this field, this review focuses on biochemical concepts of lipid peroxidation, production, metabolism, and signaling mechanisms of two main omega-6 fatty acids lipid peroxidation products: malondialdehyde (MDA) and, in particular, 4-hydroxy-2-nonenal (4-HNE), summarizing not only its physiological and protective function as signaling molecule stimulating gene expression and cell survival, but also its cytotoxic role inhibiting gene expression and promoting cell death. Finally, overviews ofin vivomammalian model systems used to study the lipid peroxidation process, and common pathological processes linked to MDA and 4-HNE are shown. Show less
no PDF DOI: 10.1155/2014/360438
anticancer review
Tang J, Aittokallio T · 2014 · Current Pharmaceutical Design · Bentham Science · added 2026-04-20
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
📄 PDF DOI: 10.2174/13816128113199990470
anticancer review
L Yang, S Wang, T Tian +1 more · 2012 · Current medicinal chemistry · Bentham Science · added 2026-04-20
L Yang, S Wang, T Tian, X Zhou Show less
Z-DNA, an active element in genome, has drawn intense interest in chemical and biological field. Its dynamic and transient state makes it challenging to target and regulate. Thus, stabilizing and indu Show more
Z-DNA, an active element in genome, has drawn intense interest in chemical and biological field. Its dynamic and transient state makes it challenging to target and regulate. Thus, stabilizing and inducing Z-DNA both in vitro and in vivo is essential, so far, much many efforts have been made in these aspects. However, Z-DNA's induction and stabilization are always performed in high salt condition and sequence-dependent, limited inducers or stabilizers have been achieved with breakthrough in the aspects of real physiological condition and sequence-independence. Herein, we give a review of some typical kinds of Z-DNA inducers and stabilizers, discussing their inducing or stabilizing condition, mechanism, structural relationship and their limitation as well, attempted to get some implication and guidance for Z-DNA inducer or stabilizer design. Show less
no PDF DOI: 10.2174/092986712798918806
review
David B Ramsden, Philip W-L Ho, Jessica W-M Ho +5 more · 2012 · Brain and behavior · Wiley · added 2026-04-20
Uncoupling proteins (UCPs) belong to a large family of mitochondrial solute carriers 25 (SLC25s) localized at the inner mitochondrial membrane. UCPs transport protons directly from the intermembrane s Show more
Uncoupling proteins (UCPs) belong to a large family of mitochondrial solute carriers 25 (SLC25s) localized at the inner mitochondrial membrane. UCPs transport protons directly from the intermembrane space to the matrix. Of five structural homologues (UCP1 to 5), UCP4 and 5 are principally expressed in the central nervous system (CNS). Neurons derived their energy in the form of ATP that is generated through oxidative phosphorylation carried out by five multiprotein complexes (Complexes I-V) embedded in the inner mitochondrial membrane. In oxidative phosphorylation, the flow of electrons generated by the oxidation of substrates through the electron transport chain to molecular oxygen at Complex IV leads to the transport of protons from the matrix to the intermembrane space by Complex I, III, and IV. This movement of protons to the intermembrane space generates a proton gradient (mitochondrial membrane potential; MMP) across the inner membrane. Complex V (ATP synthase) uses this MMP to drive the conversion of ADP to ATP. Some electrons escape to oxygen-forming harmful reactive oxygen species (ROS). Proton leakage back to the matrix which bypasses Complex V resulting in a major reduction in ROS formation while having a minimal effect on MMP and hence, ATP synthesis; a process termed "mild uncoupling." UCPs act to promote this proton leakage as means to prevent excessive build up of MMP and ROS formation. In this review, we discuss the structure and function of mitochondrial UCPs 4 and 5 and factors influencing their expression. Hypotheses concerning the evolution of the two proteins are examined. The protective mechanisms of the two proteins against neurotoxins and their possible role in regulating intracellular calcium movement, particularly with regard to the pathogenesis of Parkinson's disease are discussed. Show less
no PDF DOI: 10.1002/brb3.55
ROS mitochondria review synthesis
Daniela Donghi, Silke Johannsen, Roland K O Sigel +1 more · 2012 · CHIMIA · Swiss Chemical Society · added 2026-04-20
Multinuclear and multidimensional nuclear magnetic resonance (NMR) spectroscopy is applied in our groups to gain insights into the role of metal ions for the function and structure of large biomolecul Show more
Multinuclear and multidimensional nuclear magnetic resonance (NMR) spectroscopy is applied in our groups to gain insights into the role of metal ions for the function and structure of large biomolecules. Specifically, NMR is used i) to investigate how metal ions bind to nucleic acids and thereby control the folding and structure of RNAs, ii) to characterize how metal ions are able to stabilize modified nucleic acids to be used as potential nanowires, and iii) to characterize the formation, structure, and role of the diverse metal clusters within plant metallothioneins. In this review we summarize the various NMR experiments applied and the information obtained, demonstrating the important and fascinating part NMR spectroscopy plays in the field of bioinorganic chemistry. Show less
📄 PDF DOI: 10.2533/chimia.2012.791
NMR review
Hyung J Kim, Oleh Khalimonchuk, Pamela M Smith +1 more · 2012 · Biochimica et biophysica acta · Elsevier · added 2026-04-20
The sequential flow of electrons in the respiratory chain, from a low reduction potential substrate to O(2), is mediated by protein-bound redox cofactors. In mitochondria, hemes-together with flavin, Show more
The sequential flow of electrons in the respiratory chain, from a low reduction potential substrate to O(2), is mediated by protein-bound redox cofactors. In mitochondria, hemes-together with flavin, iron-sulfur, and copper cofactors-mediate this multi-electron transfer. Hemes, in three different forms, are used as a protein-bound prosthetic group in succinate dehydrogenase (complex II), in bc(1) complex (complex III) and in cytochrome c oxidase (complex IV). The exact function of heme b in complex II is still unclear, and lags behind in operational detail that is available for the hemes of complex III and IV. The two b hemes of complex III participate in the unique bifurcation of electron flow from the oxidation of ubiquinol, while heme c of the cytochrome c subunit, Cyt1, transfers these electrons to the peripheral cytochrome c. The unique heme a(3), with Cu(B), form a catalytic site in complex IV that binds and reduces molecular oxygen. In addition to providing catalytic and electron transfer operations, hemes also serve a critical role in the assembly of these respiratory complexes, which is just beginning to be understood. In the absence of heme, the assembly of complex II is impaired, especially in mammalian cells. In complex III, a covalent attachment of the heme to apo-Cyt1 is a prerequisite for the complete assembly of bc(1), whereas in complex IV, heme a is required for the proper folding of the Cox 1 subunit and subsequent assembly. In this review, we provide further details of the aforementioned processes with respect to the hemes of the mitochondrial respiratory complexes. This article is part of a Special Issue entitled: Cell Biology of Metals. Show less
no PDF DOI: 10.1016/j.bbamcr.2012.04.008
Cu Fe amino-acid mitochondria review
Baffy, G, Derdak, Z, Robson, S C · 2011 · Nature Publishing Group · Nature · added 2026-04-20
Recent findings link metabolic transformation of cancer cells to aberrant functions of mitochondrial uncoupling proteins (UCPs). By inducing proton leak, UCPs interfere with mitochondrial synthesis of Show more
Recent findings link metabolic transformation of cancer cells to aberrant functions of mitochondrial uncoupling proteins (UCPs). By inducing proton leak, UCPs interfere with mitochondrial synthesis of adenosine 5′-triphosphate, which is also a key determinant of glycolytic pathways. In addition, UCP suppress the generation of superoxide, a byproduct of mitochondrial electron transport and a major source of oxidative stress. The near ubiquitous UCP2 becomes highly abundant in some cancers and may advance metabolic reprogramming, further disrupt tumour suppression, and promote chemoresistance. Here we review current evidence to suggest that inhibition of mitochondrial uncoupling may eliminate these responses and reveal novel anti-cancer strategies. Show less
📄 PDF DOI: 10.1038/bjc.2011.245
ROS mitochondria review synthesis
Zhou Q, Gallo JM · 2011 · The AAPS journal · added 2026-04-20
Progress in an understanding of the genetic basis of cancer coupled to molecular pharmacology of potential new anticancer drugs calls for new approaches that are able to address key issues in the drug Show more
Progress in an understanding of the genetic basis of cancer coupled to molecular pharmacology of potential new anticancer drugs calls for new approaches that are able to address key issues in the drug development process, including pharmacokinetic (PK) and pharmacodynamic (PD) relationships. The incorporation of predictive preclinical PK/PD models into rationally designed early-stage clinical trials offers a promising way to relieve a significant bottleneck in the drug discovery pipeline. The aim of the current review is to discuss some considerations for how quantitative PK and PD analyses for anticancer drugs may be conducted and integrated into a global translational effort, and the importance of examining drug disposition and dynamics in target tissues to support the development of preclinical PK/PD models that can be subsequently extrapolated to predict pharmacologic characteristics in patients. In this article, we describe three different physiologically based (PB) PK modeling approaches, i.e., the whole-body PBPK model, the hybrid PBPK model, and the two-pore model for macromolecules, as well as their applications. General conclusions are that greater effort should be made to generate more clinical data that could validate scaled preclinical PB-PK/PD tumor-based models and, thus, stimulate a framework for preclinical to clinical translation. Finally, given the innovative techniques to measure tissue drug concentrations and associated biomarkers of drug responses, development of predictive PK/PD models will become a standard approach for drug discovery and development. Show less
📄 PDF DOI: 10.1208/s12248-011-9253-1
Pd anticancer review
2011 · · added 2026-04-20

Objective

To review preclinical and clinical data for oxaliplatin in the current context of molecularly targeted therapy.

Methods of study selection

We searched the PubMed and PubChem d Show more

Objective

To review preclinical and clinical data for oxaliplatin in the current context of molecularly targeted therapy.

Methods of study selection

We searched the PubMed and PubChem databases by combining the search terms "oxaliplatin" or "platinum" or both, with "clinical trials," "pharmacokinetics," and "pharmacodynamics."

Data extraction and synthesis

Oxaliplatin has a complicated pharmacokinetic profile, with activity against digestive cancers in particular. It has several mechanisms of action, but cancer cells can develop resistance. Real or potential synergism has been observed when oxaliplatin is combined with other cytotoxic agents or molecularly targeted agents. Peripheral neuropathy is a prominent toxic effect.

Conclusions

Oxaliplatin lends itself to further clinical research in combination with molecularly targeted therapy. Show less
📄 PDF DOI: 10.3747/co.v18i1.708
review
Thomas W Kensler, Nobunao Wakabayashi · 2010 · Carcinogenesis · Oxford University Press · added 2026-04-20
Health reflects the ability of an organism to adapt to stress. Stresses--metabolic, proteotoxic, mitotic, oxidative and DNA-damage stresses--not only contribute to the etiology of cancer and other chr Show more
Health reflects the ability of an organism to adapt to stress. Stresses--metabolic, proteotoxic, mitotic, oxidative and DNA-damage stresses--not only contribute to the etiology of cancer and other chronic degenerative diseases but are also hallmarks of the cancer phenotype. Activation of the Kelch-like ECH-associated protein 1 (KEAP1)-NF-E2-related factor 2 (NRF2)-signaling pathway is an adaptive response to environmental and endogenous stresses and serves to render animals resistant to chemical carcinogenesis and other forms of toxicity, whilst disruption of the pathway exacerbates these outcomes. This pathway can be induced by thiol-reactive small molecules that demonstrate protective efficacy in preclinical chemoprevention models and in clinical trials. However, mutations and epigenetic modifications affecting the regulation and fate of NRF2 can lead to constitutive dominant hyperactivation of signaling that preserves rather than attenuates cancer phenotypes by providing selective resistance to stresses. This review provides a synopsis of KEAP1-NRF2 signaling, compares the impact of genetic versus pharmacologic activation and considers both the attributes and concerns of targeting the pathway in chemoprevention. Show less
no PDF DOI: 10.1093/carcin/bgp231
DNA-binding amino-acid review
Ivano Bertini, Gabriele Cavallaro · 2010 · Metallomics : integrated biometal science · Royal Society of Chemistry · added 2026-04-20
Bioinformatics is a central discipline in modern life sciences aimed at describing the complex properties of living organisms starting from large-scale data sets of cellular constituents such as genes Show more
Bioinformatics is a central discipline in modern life sciences aimed at describing the complex properties of living organisms starting from large-scale data sets of cellular constituents such as genes and proteins. In order for this wealth of information to provide useful biological knowledge, databases and software tools for data collection, analysis and interpretation need to be developed. In this paper, we review recent advances in the design and implementation of bioinformatics resources devoted to the study of metals in biological systems, a research field traditionally at the heart of bioinorganic chemistry. We show how metalloproteomes can be extracted from genome sequences, how structural properties can be related to function, how databases can be implemented, and how hints on interactions can be obtained from bioinformatics. Show less
no PDF DOI: 10.1039/b912156k
review
Saeed Ahmad · 2010 · Chemistry & biodiversity · Wiley · added 2026-04-20
Platinum-based compounds are widely used as chemotherapeutics for the treatment of a variety of cancers. The anticancer activity of cisplatin and other platinum drugs is believed to arise from their i Show more
Platinum-based compounds are widely used as chemotherapeutics for the treatment of a variety of cancers. The anticancer activity of cisplatin and other platinum drugs is believed to arise from their interaction with DNA. Several cellular pathways are activated in response to this interaction, which include recognition by high-mobility group and repair proteins, translesion synthesis by polymerases, and induction of apoptosis. The apoptotic process is regulated by activation of caspases, p53 gene, and several proapoptotic and antiapoptotic proteins. Such cellular processing eventually leads to an inhibition of the replication or transcription machinery of the cell. Deactivation of platinum drugs by thiols, increased nucleotide excision repair of Pt-DNA adducts, decreased mismatch repair, and defective apoptosis result in resistance to platinum therapy. The differences in cytotoxicity of various platinum complexes are attributed to the differential recognition of their adducts by cellular proteins. Cisplatin and oxaliplatin both produce mainly 1,2-GG intrastrand cross-links as major adducts, but oxaliplatin is found to be more active particularly against cisplatin-resistant tumor cells. Mismatch repair and replicative bypass appear to be the processes most likely involved in differentiating the molecular responses to these two agents. This review describes the formation of Pt-DNA adducts, their interaction with cellular components, and biological effects of this interaction. Show less
no PDF DOI: 10.1002/cbdv.200800340
Pt anticancer review synthesis