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🏷️ Tags (8587 usages)
⚗️ Metals 2487
▸ Metals — Platinum (109)
apoptosis (297)Pt (214)pt (24)ferroptosis (22)oxaliplatin (21)cisplatin (21)pyroptosis (7)necroptosis (6)transcription (6)carboplatin (5)transcription factors (5)transcriptional regulation (5)platinum (4)lead optimization (3)transcription regulation (3)metabolic adaptation (3)pt(ii) complexes (2)transcriptional regulatory interactions (2)ferroptosis induction (2)transcription initiation (2)transcription-coupled repair (2)adaptive binding (2)cellular adaptation (2)post-transcriptional regulation (2)pt(dach)methionine (1)transcription-coupled nucleotide excision repair (tc-ner) (1)triptolide (1)molecular optimization (1)pt(dach)cl4 (1)innate apoptotic immunity (1)pta (1)oligopeptides (1)transcription-coupled ner (1)ferroptosis suppressor protein 1 (fsp1) (1)apoptotic cells (1)platinumbased (1)hptab (1)signaling-transcriptional mechanisms (1)oncogene transcription inhibition (1)pt2 (1)admet optimization (1)receptor (1)pten (1)platinum(ii) (1)chain-of-thought prompt engineering (1)tetrapeptides (1)apoptotic function (1)adaptive immune response (1)gpt-2 (1)platinum drugs (1)ptii complex (1)platinum complexes (1)transcriptomics (1)cell metabolism disruption (1)peptide (1)pt(s,s-dab) (1)pt(r,r-dab) (1)pt3(hptab) (1)estrogen receptor (1)transcriptional addiction (1)transcription stress (1)septicemia (1)optical spectroscopies (1)receptors (1)selective serotonin reuptake inhibitors (ssri) (1)transcription-coupled nucleotide excision repair (1)pt(r,r-dach) (1)chiroptical response (1)diplatinum helicate (1)cyclometalated 1,3-bis(8-quinolyl) phenyl chloroplatinum(ii) (1)transcriptional activity (1)pt1 (1)disrupting a base pair (1)platinum-containing drugs (1)gpt-4 (1)transcriptional stalling (1)transcription inhibition (1)apoptotic (1)eukaryotic transcription (1)base pairing disruption (1)apoptosis-related disorders (1)coordination chemistry is not relevant, but bioinorganic and medicinal chemistry are related concepts (1)chatgpt (1)apoptosis induction (1)platinum(ii)-based (1)transcriptional activation (1)platinum-based compounds (1)inhibition of transcription factors (1)molecular descriptors (1)pt(dach)oxalato (1)polypeptide chains (1)pt(dach)cl2 (1)glp-1 receptor agonists (1)chiroptical applications (1)pt(s,s-dach) (1)cell-penetrating peptides (1)cysteine uptake (1)therapeutic optimization (1)shape description methods (1)transcription blockage (1)antiferroptotic (1)rna transcription (1)electronic absorption (1)cellular adaptation to hypoxia (1)ferroptosis suppressor protein 1 (1)apoptosis evasion (1)phosphopeptide-based kinome analysis (1)anti-apoptotic (1)gpt (1)
▸ Metals — Cobalt (185)
coordination-chemistry (102)Co (64)coordination chemistry (55)colorectal cancer (19)computational biology (7)spectroscopy (7)computational chemistry (6)computational modeling (6)pharmacology (6)co (5)pharmacovigilance (5)cryo-electron microscopy (4)glucose (4)colon cancer (4)metal complexes (4)glycolysis (4)oncology (4)pharmacokinetics (4)conformational change (3)glycocalyx (3)oncometabolite (3)complex i (3)oncosis (3)oncogenesis (2)polypharmacology (2)in-silico (2)plant secondary metabolites (2)computational approaches (2)in silico (2)convolutional neural networks (2)complex iii (2)natural compounds (2)pharmacodynamics (2)mitochondrial complex i (2)aerobic glycolysis (2)oncogene (2)covid-19 (2)microviscosity (1)pharmacometabolomics (1)complex formation (1)redox control (1)fatty alcohols (1)influence on physicochemical properties (1)fluorescence recovery after photobleaching (1)convolutional neural network (1)conditional lethality (1)picolinic acid (1)sars-cov-1 (1)metabolic control (1)pharmacological inhibition (1)pharmacokinetic (1)therapeutic controversy (1)multicolor emission (1)co2 fixation (1)protein complex (1)oncogenes (1)recombination (1)confocal microscopy (1)metal-ligand cooperation (1)cell surface recognition (1)sarcoma (1)network pharmacology (1)covalent interaction (1)escherichia coli (1)cobalamin (1)reversible compartmentalization (1)oncogene promoter regions (1)cellular compartments (1)coulometric karl fischer apparatus (1)combinatorial treatment (1)heme-containing enzymes (1)coimmunoprecipitation assay (1)glycosphingolipids (1)comorbidities (1)glycolytic activity (1)computational metabolomics (1)conformational isomerization (1)constitutive induction (1)confocal imaging (1)alcoholic hepatitis (1)knowledge discovery (1)oncogenic mutation (1)cobaltocene (1)coordination (1)computational approach (1)inorganic compounds (1)toxicology (1)conformational stability (1)connectivity mapping (1)mitochondrial uncoupling protein 2 (1)pharmacokinetic analyses (1)membrane permeability comparison (1)computer models (1)pathological conditions (1)dna condensation (1)4-octyl-itaconate (4-oi) (1)glucose dependence (1)cockayne's syndrome (1)atomic force microscope (1)complex diseases (1)dna conformational distortion (1)computational prediction (1)health economics (1)viscometry (1)conformational transitions (1)anticoagulant (1)glycome (1)oncogenic pathways (1)mitochondrial quality control (1)spin-orbit coupling (1)cytosolic ca21 concentration (1)cobamide (1)glycobiology (1)coimmunoprecipitation (1)dual protein expansion microscopy (1)brightfield microscopy (1)complexes (1)fluorescence recovery after photobleaching (frap) (1)glucose deprivation resistance (1)physicochemical properties (1)cell-like compartments (1)expansion microscopy (1)anticoagulants (1)ascorbic acid (1)oncogenic signaling (1)collective intelligence (1)cordycepin (1)genetic encoding (1)co2 (1)coupled-cluster computations (1)atp-competitive inhibitors (1)non-covalent interaction (1)computational methods (1)conformational states (1)conformational transition (1)electronic health records (1)sars-cov-2 (1)computational models (1)pharmacodynamic (1)text encoder (1)social cognition (1)sensory nerve conduction velocity (1)covalent binding (1)oncogene-mediated cellular transformation (1)fluorescence microscopy (1)glycolysis pathway (1)electronic conductometry (1)conformational landscapes (1)inductively coupled plasma mass spectrometry (1)itaconate (1)co(terpy)2+ (1)nmr spectroscopy (1)computational analysis (1)inductively coupled plasma mass spectrometer (1)coenzyme q10 (1)cell communication (1)colony formation assay (1)physico-chemical mechanisms (1)recognition (1)glycolytic enzymes (1)systems pharmacology (1)atomic force microscopy (1)computational methodologies (1)oncogenic (1)click expansion microscopy (1)glycosylation (1)n-(2-picolyl)salicylimine (1)ewing sarcoma (1)computational study (1)anticoagulation (1)confocal laser scanning microscopy (1)immuno-oncology (1)genome conformation profiling (1)somatic comorbidities (1)uv-vis spectroscopy (1)in silico analysis (1)co-immunoprecipitation (1)caco-2 cell monolayers (1)scoping review (1)conformational switch (1)damage recognition (1)entity recognition (1)energy conversion (1)noncovalent interactions (1)computer analysis (1)
▸ Metals — Iron (60)
▸ Metals — Ruthenium (86)
Ru (41)drug discovery (27)drug-delivery (23)drug resistance (11)prodrug (9)drug-drug interactions (9)drugs (7)adverse drug reactions (7)structural biology (7)drug repurposing (6)drug delivery (5)drug (5)drug development (5)g-quadruplex dna (4)ru (4)protein structure (3)drug interactions (3)structural analysis (3)drug screening (3)drug-target interaction prediction (3)g-quadruplex (3)drug design (3)drug repositioning (2)metallodrugs (2)structural data (2)drug-target interaction (2)serum (1)structure-based virtual screening (1)recruitment (1)hexammineruthenium(iii) (1)drug testing (1)spectrum diagrams (1)drug therapy (1)drug safety monitoring (1)drug sensitivity and resistance testing (1)drug safety assessment (1)structure (1)structural insights (1)adverse drug reaction detection (1)drug sensitization (1)drug target (1)truncations (1)drug-drug interaction prediction (1)protein structure-function relationship (1)pyruvate (1)drug-drug interaction identification (1)phenotypic drug screening (1)spontaneous adverse drug reaction reports (1)structural basis (1)antiviral drug discovery (1)drug tolerance (1)green rust (1)structural modeling (1)small-molecule drugs (1)structural methods (1)drug-nutrient interactions (1)adverse drug events (1)computational drug discovery (1)metal-based drugs (1)structural rearrangement (1)protein structure analysis (1)virus (1)small-molecule oral drugs (1)targeted drug delivery (1)adverse drug reaction (1)chemical drugs (1)doxorubicin (1)drug resistance reduction (1)drug-likeness (1)drug interaction prediction (1)drug target identification (1)macromolecular structure determination (1)resorufin (1)drug interaction analysis (1)drug combinations (1)non-steroidal anti-inflammatory drugs (nsaids) (1)structural bioinformatics (1)structure prediction (1)drug response (1)drug interaction screening (1)ruthenium(ii)-based (1)drug detection (1)structure-function analysis (1)metal-based drug (1)protocellular structures (1)drug interaction identification (1)
▸ Metals — Copper (63)
▸ Metals — Gold (19)
▸ Metals — Iridium (29)
▸ Metals — Others (17)
▸ Metals — Palladium (13)
▸ Metals — Zinc (5)
▸ Metals — Other (17)
🔬 Methods 1116
▸ Methods — Other experimental (213)
synthesis (244)ML (51)docking (23)natural language processing (12)in vitro (7)in vivo (6)morphological profiling (4)literature search (4)benchmarking (4)network analysis (4)image-based profiling (3)biochemical analysis (3)text analysis (3)bibliometric analysis (3)api (2)incites (2)vosviewer (2)experimental (2)theoretical studies (2)high-throughput screening (2)sequence analysis (2)information extraction (2)pubmed (2)cck-8 assay (2)statistics (2)lectin array (2)statistical approach (2)literature review (2)genetic (2)icite (2)lectin microarray (2)semantic search (2)data visualization (1)in vivo studies (1)target-based approaches (1)permeability measurement (1)gene expression profile (1)patch clamp (1)cnns (1)knockout mouse studies (1)cpg island methylator phenotype (1)in vitro models (1)immunoblot (1)bret2 (1)preclinical models (1)graph theory (1)gnns (1)passive rheology (1)nonequilibrium sensitivity analysis (1)ex vivo (1)multilayer network integration (1)inhibition assay (1)go analysis (1)experimental data analysis (1)caspase activity (1)nct (1)esm (1)web of science (1)gene expression microarray (1)uv light exposure (1)text2sql (1)decision-making (1)short tandem repeat profiling (1)in-vitro (1)analytical determination methods (1)perturbation (1)immunospecific antibodies (1)overexpression (1)mechanistic analysis (1)nuclease digestion (1)enzymatic reaction (1)excision assay (1)nuclear magnetic resonance (not explicitly mentioned but implied through study of variants) (1)pampa assay (1)experimental studies (1)null models (1)binding studies (1)clinical analysis (1)semi-supervised learning (1)efficacy analyses (1)supervised learning (1)electric field application (1)mouse model (1)estimates (1)isothermal calorimetry (1)rational design (1)learning to rank (1)gene expression analysis (1)fluorometry (1)octanol-aqueous shake-flask method (1)polypharmacy regimens (1)predictive models (1)xr-seq (1)graph learning (1)human studies (1)in vivo lung perfusion (1)merip-seq (1)uv-detection (1)atp hydrolysis (1)clinical methods (1)data processing (1)glovebox-bound apparatus (1)hoechst 33,258 staining (1)mutational analyses (1)semantic retrieval (1)solid-phase microextraction (1)immunization (1)pathscan array (1)quantitative phase behavior (1)natural bond orbital (nbo) analysis (1)ai (1)immunological analysis (1)cellular assays (1)synthetic biology tools (1)nanotherapeutic approaches (1)splicing regulation profiling (1)genome-wide screening (1)loss-of-function screens (1)histochemical staining (1)resazurin reduction assay (1)stopped-flow ph jump experiments (1)protein language model (1)experimental validation (1)matrix factorization (1)giao method (1)multi-head attention mechanism (1)rnns (1)phase ii trial (1)calorimetry (1)high throughput screening (1)trp emission (1)self-supervised learning (1)chemocentric approach (1)graph-based learning (1)tcga analysis (1)theoretical framework (1)machine-learning algorithms (1)ablation experiments (1)boolean logic (1)guanidine hydrochloride denaturation (1)ic50 index (1)statistical analysis (1)quantification (1)ensemble learning (1)in vitro study (1)relation search (1)relation extraction (1)image segmentation (1)genetic studies (1)genome-wide analysis (1)knockdown (1)ccsd(t) (1)biochemical characterization (1)performance evaluation (1)nbo 3.1 (1)rocplotter (1)mitoplast preparation (1)cryoem (1)entity annotation (1)modeling (1)systems engineering (1)database analysis (1)radiation exposure (1)prognostic tools (1)mouse models (1)nuclear magnetic resonance (1)proximity ligation assays (1)mp2(fc)/6–311 +  + (2d,2p) (1)personalized treatments (1)ncbi e-utilities (1)gradient boosting machines (1)kegg analysis (1)genetic algorithm (1)algorithms (1)experimental design (1)system-level/network analyses (1)visualized analysis (1)aimall (1)radiotherapy (1)laboratory methods (1)displacement assay (1)electrophoretic retardation measurements (1)seahorse platform (1)normoxia (1)mixture modeling (1)high-throughput (1)experimental methods (1)slot blot (1)magnetic tweezers (1)thermal denaturation (1)global genome ner (1)genetic profiling (1)mutation analysis (1)algorithm development (1)modelling (1)cell migration assay (1)methylome profiling (1)biochemical studies (1)patch clamping (1)umbrella review (1)zotero (1)immunoblotting (1)statistical methods (1)cellular models (1)miclip (1)fluorometric assay (1)enzymatic assays (1)genetic analysis (1)photophysical (1)biomedical information retrieval (1)logistic regression (1)in-vivo (1)mutational status analysis (1)
▸ Methods — Computational (31)
▸ Methods — Crystallography / Structure (4)
▸ Methods — Cell biology (21)
▸ Methods — Spectroscopy (19)
▸ Methods — Genomics / Omics (25)
▸ Methods — Mass spec / Chromatography (6)
▸ Methods — Clinical / Epidemiology (8)
▸ Methods — Electrochemistry (5)
▸ Methods — Other (1)
🎯 Targets 980
▸ Targets — Mitochondria (15)
▸ Targets — Other (157)
protein (58)enzyme (19)heme (11)gene expression (10)nucleus (9)genome (5)cardiolipin (5)enzymes (5)are (4)nucleolus (4)genetic variants (4)tfiih (4)lipids (4)signal transduction (4)cytoplasm (4)cellular metabolism (4)cell metabolism (3)cell surface (3)ribosome (3)metalloproteins (3)cells (3)cell (3)fumarate hydratase (2)dihydroorotate dehydrogenase (2)ubiquinone (2)stress response (2)tubulin (2)cytosol (2)polysulfides (2)cytochrome c oxidase (2)xpb (2)aif (2)genes (2)ribosome biogenesis (2)chromophore (1)none (1)substrates (1)clinical notes (1)acsl4 (1)protein phosphatase 2a (1)dpscs (1)albumin (1)tissues (1)trxr (1)substrate (1)platelet aggregation (1)tbk1 (1)metabolic phenotype (1)lab results (1)intracellular ph (1)sqr (1)cellular biochemistry (1)target (1)healthy cells (1)sting (1)gene targets (1)variants (1)three-way junction (1)heme-oxygenase1 (1)ddr1 (1)cajal bodies (1)target genes (1)upr (1)mif (1)heme a3 (1)nucleic acids (1)intracellular substrates (1)hydrogen sulfide (h2s) (1)mt1-mmp (1)gene (1)plasma proteins (1)adenine (1)metabolic signatures (1)nuclear foci (1)mscs (1)caspase cascade (1)p65 (1)dna synthesis (1)ddb2 (1)nuclear factor (1)hmga2 (1)ecm (1)diseases (1)spliceosomal proteins (1)neurons (1)smn protein (1)nadh/nad(p)h (1)rtk clusters (1)reactive species (1)metal (1)translation initiation (1)ligand (1)lipid droplet (1)metabolic enzymes (1)pkcd (1)protein kinases (1)peripheral nervous system (1)stem cells (1)cellular targets (1)metalloenzyme (1)chemical reactions (1)4ebp1 (1)procaspase 3 (1)ump synthase (1)rbx1 (1)literature-based evidence (1)ras (1)metabolic biomarkers (1)guanine (1)metal centers (1)ccr7 (1)cytochrome p450 2e1 (1)cell nucleus (1)lung tissue (1)ph (1)stress granules (1)erythrocytes (1)hexokinase 2 (1)nucleic acid (1)nitrogen species (1)four-way junction (1)nucleolar protein (1)p21 (1)mek1/2 (1)membrane potential (1)polysulfides (h2sn) (1)mek (1)annexin v (1)atp production (1)actin (1)traf5 (1)tme (1)cytoskeleton (1)proteoforms (1)cell cycle (1)p47phox (1)metabolome (1)cellular (1)aldoa (1)oxidants (1)zbp1 (1)cellular machines (1)atp (1)actin filaments (1)disease network (1)lipid damage (1)focal adhesions (1)p97 (1)protein sequence (1)xpc (1)whole cell (1)p38 (1)plectin (1)plasmids (1)propidium iodide (1)nadph oxidase 1 (nox1) (1)hdac enzymes (1)
▸ Targets — Nucleic acids (44)
▸ Targets — Membrane / Transport (15)
▸ Targets — Enzymes / Kinases (18)
▸ Targets — Transcription factors (5)
🦠 Diseases 880
▸ Diseases — Cancer (69)
▸ Diseases — Other (41)
▸ Diseases — Neurodegenerative (18)
▸ Diseases — Inflammatory / Immune (6)
▸ Diseases — Metabolic (5)
▸ Diseases — Cardiovascular (6)
▸ Diseases — Hepatic / Renal (8)
⚙️ Mechanisms 800
▸ Mechanisms — ROS / Redox (65)
▸ Mechanisms — Other (96)
cell cycle arrest (16)enzyme inhibition (12)phosphorylation (5)gene expression regulation (5)cell cycle regulation (4)persulfidation (3)detoxification (3)ligand dissociation (2)sequence variants (2)mechanism of action (2)resistance (2)inactivation (2)invasion inhibition (1)er stress responses (1)hormesis (1)invasiveness (1)epithelial-to-mesenchymal transition inhibition (1)oxygen-dependent metabolism (1)aquation (1)paracellular permeability (1)translation efficiency (1)denaturation (1)sequestration (1)oxidative post-translational modification (1)lipid metabolism (1)duplex unwinding (1)unfolded protein response (1)antioxidation (1)calcium regulation (1)radical formation (1)oxidative damage (1)splicing regulation (1)cell growth arrest (1)protein destabilization (1)multivalent interactions (1)protein phosphatase 2a modulation (1)protein dislocation (1)cell growth suppression (1)proteotoxic stress (1)protein rearrangements (1)p21 translation inhibition (1)gg-ner (1)pseudohypoxia (1)hypoxic response (1)electron shuttle (1)low-barrier hydrogen bond (1)kinase inhibition (1)synthetic lethality (1)stress responses (1)mutagenesis (1)subcellular relocalization (1)weak interactions (1)proton ejection (1)metabolic fuel selection (1)posttranslational modification (1)regulatory interactions (1)proton pumps (1)genetic regulation (1)protein unfolding (1)nucleolar homeostasis (1)ligand switch (1)ribosomopathies (1)oxidation-reduction (1)induced fit (1)localization (1)genetic mutation (1)mode of action (1)nucleolar stress response (1)cell killing capacity (1)ligand exchange (1)bond breaking (1)kinase activation (1)modulation (1)diadduct formation (1)cytoskeleton modulation (1)radical-mediated reaction (1)electron self-exchange (1)protein shuttling (1)pore formation (1)cellular metabolism regulation (1)nuclear export processes (1)ion selectivity (1)cell survival suppression (1)stabilization (1)cell damage (1)mitochondrial bioenergetics (1)gene therapy (1)cytochrome p450 2e1 inhibition (1)oxidative metabolic phenotype (1)phosphorylation regulation (1)aggregation (1)downregulation (1)glutamate exchange (1)acidosis (1)dysregulated gene expression (1)glycan expression (1)
▸ Mechanisms — Signaling (51)
▸ Mechanisms — Immune modulation (21)
▸ Mechanisms — DNA damage / Repair (5)
▸ Mechanisms — Epigenetic (18)
▸ Mechanisms — Cell death (7)
▸ Mechanisms — Protein interaction (14)
▸ Mechanisms — Metabolic rewiring (8)
🔗 Ligands 659
▸ Ligands — N-donor (25)
▸ Ligands — Heterocyclic (9)
▸ Ligands — C-donor / NHC (4)
▸ Ligands — S-donor (14)
▸ Ligands — O-donor (7)
▸ Ligands — Other (8)
▸ Ligands — P-donor (2)
▸ Ligands — Peptide / Protein (4)
▸ Ligands — Macrocyclic (3)
▸ Ligands — Polydentate (5)
🧠 Concepts 612
▸ Concepts — Other biomedical (178)
medicinal chemistry (122)photoactivated (27)cell biology (13)chemotherapy (11)metabolism (10)biochemistry (9)artificial intelligence (7)large language models (7)systems biology (6)information retrieval (5)precision medicine (5)gene regulation (5)data mining (5)chemoprevention (4)cheminformatics (4)therapeutic target (4)mitophagy (4)immunology (4)genetics (4)biomedical research (3)large language model (3)biomedical literature (3)hydrogen bonding (3)post-translational modifications (3)chemotherapy resistance (3)variant interpretation (3)immunometabolism (3)physiology (2)clinical practice (2)evidence extraction (2)biotransformation (2)metabolic regulation (2)physiological relevance (2)chemical biology (2)cell cycle progression (2)immunomodulation (2)biophysics (2)protein modification (2)biopharmaceutics (2)immunity (2)in vitro modeling (2)post-translational modification (2)targeted therapy (2)predictive modeling (2)therapy resistance (2)desiccant efficiency (1)multimodal data integration (1)stereochemistry (1)variant evaluation (1)epithelial-mesenchymal transition (1)metalloprotein (1)genetic screening (1)self-assembly (1)personalized therapy (1)protein function prediction (1)cellular mechanisms (1)protein targeting (1)evidence-based medicine (1)photophysics (1)protein modifications (1)translational research (1)paracellular transport (1)helicase mechanism (1)chemiosmosis (1)polarizability (1)nonequilibrium (1)genotype characterization (1)nuclear shape (1)nutrient dependency (1)metabolic engineering (1)interactome (1)therapies (1)probing (1)multiscale analysis (1)reactive species interactome (1)tissue-specific (1)pharmaceutics (1)knowledge extraction (1)metabolic activities (1)protein function (1)chemical ontology (1)proton delocalization (1)permeability (1)biomarkers (1)prediction tool (1)mechanisms of action (1)protein-ligand binding affinity prediction (1)short hydrogen bonds (1)chemical language models (1)biomedical informatics (1)organelle function (1)microbiome (1)pathogenesis (1)mechanistic framework (1)biosignatures (1)cellular stress response (1)ion-selective electrodes (1)multimodal fusion (1)gasotransmitter (1)carbon metabolism (1)bioengineering (1)ion association (1)enzyme mechanism (1)symmetry breaking (1)micropolarity (1)genome stability (1)scaffold (1)global health (1)clinical implications (1)cellular neurobiology (1)mesh indexing (1)llm (1)therapeutic strategy (1)ner (1)dissipative behavior (1)enzymology (1)pretrained model (1)longevity (1)profiling approaches (1)multimodal information integration (1)therapeutic implications (1)astrobiology (1)protein sequence analysis (1)selective degradation (1)mechanical properties (1)biomedical literature search (1)metabolism regulation (1)extracellular vesicles (1)protein chemistry (1)foundation model (1)data science (1)low-barrier hydrogen bonds (1)variant detection (1)synthetic biology (1)therapeutic innovation (1)therapeutic targeting (1)metabolic dependencies (1)protein data bank (1)cellular biology (1)phenotypic screening (1)immunoengineering (1)database (1)thermochemistry (1)therapeutic approaches (1)medical subject heading (1)network biology (1)inorganic chemistry (1)immunoregulation (1)ageing (1)protein interaction networks (1)hormone mimics (1)therapeutics (1)chemotherapy efficacy (1)metabolite-mediated regulation (1)regulatory landscape (1)chemical informatics (1)mental well-being (1)personalized medicine (1)cell plasticity (1)protein science (1)metabolic therapy (1)cell polarity (1)bioavailability (1)biomedicine (1)cellular stress (1)network medicine (1)energy transduction (1)boron helices (1)nucleolar biology (1)sialic acid (1)organic solvent drying (1)phenotypic analysis (1)in vivo perfusion (1)polypharmacy (1)hyperglycemia (1)phenotypic screens (1)mechanobiology (1)nuclear organization (1)
▸ Concepts — Bioinorganic (7)
▸ Concepts — Thermodynamics / Kinetics (10)
▸ Concepts — Evolution / Origin of life (9)
▸ Concepts — Nanomedicine / Delivery (2)
▸ Concepts — Cancer biology (1)
📦 Other 583
▸ Other (169)
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4728 articles
2022 · Chemical Communications · Royal Society of Chemistry · added 2026-05-21
Emerging synthetic development of chiral gold(iii) complexes has prompted new opportunities in catalysis and material science with limited utility in biomedicine.
no PDF DOI: 10.1039/d2cc03081k
Ramya Prabaharan, Ramesh Rengan, Devan Umapathy +2 more · 2022 · Applied Organometallic Chemistry · Wiley · added 2026-05-01
📄 PDF DOI: 10.1002/aoc.6512
Biometal
Danny Wu, Tao Tao, Emily A Eshraghian +3 more · 2022 · Frontiers in Oncology · Frontiers · added 2026-04-20
Extracellular RNA (exRNA) is a special form of RNA in the body. RNA carries information about genes and metabolic regulation in the body, which can reflect the real-time status of cells. This characte Show more
Extracellular RNA (exRNA) is a special form of RNA in the body. RNA carries information about genes and metabolic regulation in the body, which can reflect the real-time status of cells. This characteristic renders it a biomarker for disease diagnosis, treatment, and prognosis. ExRNA is transported through extracellular vesicles as a signal medium to mediate communication between cells. Tumor cells can release more vesicles than normal cells, thereby promoting tumor development. Depending on its easy detection, the advantages of non-invasive molecular diagnostic technology can be realized. In this systematic review, we present the types, vectors, and biological value of exRNA. We briefly describe new methods of tumor diagnosis and treatment, as well as the difficulties faced in the progress of such research. This review highlights the groundbreaking potential of exRNA as a clinical biomarker. Show less
📄 PDF DOI: 10.3389/fonc.2022.960072 📎 SI
review
Hildebrandt J, Häfner N, Kritsch D +4 more · 2022 · International Journal of Molecular Sciences · MDPI · added 2026-05-01
(1) Background: Ruthenium and osmium complexes attract increasing interest as next generation anticancer drugs. Focusing on structure-activity-relationships of this class of compounds, we report on 17 Show more
(1) Background: Ruthenium and osmium complexes attract increasing interest as next generation anticancer drugs. Focusing on structure-activity-relationships of this class of compounds, we report on 17 different ruthenium(II) complexes and four promising osmium(II) analogues with cinnamic acid derivatives as O,S bidentate ligands. The aim of this study was to determine the anticancer activity and the ability to evade platin resistance mechanisms for these compounds. (2) Methods: Structural characterizations and stability determinations have been carried out with standard techniques, including NMR spectroscopy and X-ray crystallography. All complexes and single ligands have been tested for cytotoxic activity on two ovarian cancer cell lines (A2780, SKOV3) and their cisplatin-resistant isogenic cell cultures, a lung carcinoma cell line (A549) as well as selected compounds on three non-cancerous cell cultures in vitro. FACS analyses and histone γH2AX staining were carried out for cell cycle distribution and cell death or DNA damage analyses, respectively. (3) Results: IC50 values show promising results, specifically a high cancer selective cytotoxicity and evasion of resistance mechanisms for Ru(II) and Os(II) compounds. Histone γH2AX foci and FACS experiments validated the high cytotoxicity but revealed diminished DNA damage-inducing activity and an absence of cell cycle disturbance thus pointing to another mode of action. (4) Conclusion: Ru(II) and Os(II) compounds with O,S-bidentate ligands show high cytotoxicity without strong effects on DNA damage and cell cycle, and this seems to be the basis to circumvent resistance mechanisms and for the high cancer cell specificity. Show less
📄 PDF DOI: 10.3390/ijms23094976 📎 SI
Biometal
María Benítez, María L. Buil, Miguel A. Esteruelas +3 more · 2022 · Inorganic Chemistry · ACS Publications · added 2026-04-20
The preparation of three families of phosphorescent iridium(III) emitters, including iridaoxazole derivatives, hydroxycarbene compounds, and N,C(sp3),C(sp2),O-tetradentate Show more
The preparation of three families of phosphorescent iridium(III) emitters, including iridaoxazole derivatives, hydroxycarbene compounds, and N,C(sp3),C(sp2),O-tetradentate containing complexes, has been performed starting from dimers cis-[Ir(μ22-C≡CR){κ2-C,N-(MeC6H3-py)}2]2 (R = tBu (1a), Ph (1b)). Reactions of 1a with benzamide, acetamide, phenylacetamide, and trifluoroacetamide lead to the iridaoxazole derivatives Ir{κ2-C,O-[C(CH2tBu)NC(R)O]}{κ2-C,N-(MeC6H3-py)}2 (R = Ph (2), Me (3), CH2Ph (4), CF3 (5)) with a fac disposition of carbons and heteroatoms around the metal center. In 2-methyltetrahydrofuran and dichloromethane, water promotes the C-N rupture of the IrC-N bond of the iridaoxazole ring of 3-5 to form amidate-iridium(III)-hydroxycarbene derivatives Ir{κ1-N-[NHC(R)O]}{κ2-C,N-(MeC6H3-py)}2{═C(CH2tBu)OH} (R = Me (6), CH2Ph (7), CF3 (8)). In contrast to 1a, dimer 1b reacts with benzamide and acetamide to give Ir{κ4-N,C,C',O-[py-MeC6H3-C(CH2-C6H4)NHC(R)O]}{κ2-C,N-(MeC6H3-py)}(R = Ph (9), Me (10)), which bear a N,C(sp3),C(sp2),O-tetradentate ligand resulting from a triple coupling (an alkynyl ligand, an amide, and a coordinated aryl group) and a C-H bond activation at the metal coordination sphere. Complexes 2-4 and 6-10 are emissive upon photoexcitation, in orange (2-4), green (6-8), and yellow (9 and 10) regions, with quantum yields between low and moderate (0.01-0.50) and short lifetimes (0.2-9.0 μs). Show less
no PDF DOI: 10.1021/acs.inorgchem.2c03522 📎 SI
Ir imaging synthesis
Marion Graf, Hans‐Christian Böttcher, Nils Metzler‐Nolte +2 more · 2022 · Zeitschrift für anorganische und allgemeine Chemie · Wiley · added 2026-05-01
📄 PDF DOI: 10.1002/zaac.202200206
Biometal
2022 · SSRN Electronic Journal · added 2026-04-20
no PDF DOI: 10.2139/ssrn.4300116
X-ray synthesis
Wang Y, Li Y, Chen J +6 more · 2022 · Journal of Inorganic Biochemistry · Elsevier · added 2026-05-01
Ligand HMSPIP (2-(4-(methylsulfonyl)phenyl)-1H-imidazo[4,5-f][1,10]phenanthroline) and its iridium(III) complexes [Ir(ppy)2(HMSPIP)]PF6 (ppy = 2-phenylpyridine, Ir1) and [Ir(bzq) Show more
Ligand HMSPIP (2-(4-(methylsulfonyl)phenyl)-1H-imidazo[4,5-f][1,10]phenanthroline) and its iridium(III) complexes [Ir(ppy)2(HMSPIP)]PF6 (ppy = 2-phenylpyridine, Ir1) and [Ir(bzq)2(HMSPIP)]PF6 (bzq = benzo[h]quinoline, Ir2) were synthesized. The complexes were characterized by 1H NMR, 13C NMR, and UV/Vis spectra. The cytotoxicity of the complexes toward cancer cells were evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method, the scratch wound healing and colony-forming were also investigated. MTT assay certificated that the complexes show high toxic effect on the HeLa cells. The cell cycle assay illustrated that the complexes blocked cell growth at G0/G1 phase in HeLa cells. A series of subsequent experiments showed that the complexes first enter the endoplasmic reticulum (ER) and then enter the mitochondria, leading to an increase in intracellular Ca2+ and reactive oxygen species (ROS) content, depolarizing mitochondrial membrane potential (MMP), and ultimately resulting in apoptosis. In addition, the experimental results revealed that the complexes not only increase the level of ROS but also inhibit the production of GSH and eventually produce large amounts of MDA and further leading to cell death. Taken together, we consider that the complexes can be used as potential candidate drugs for HeLa cancer treatment. Show less
📄 PDF DOI: 10.1016/j.jinorgbio.2022.112054
Biometal
Park BJ, Raha P, Pankovich J +1 more · 2022 · Cancers · MDPI · added 2026-05-01
BOLD-100 (sodium trans-[tetrachlorobis(1H indazole)ruthenate(III)]) is a ruthenium-based anticancer compound currently in clinical development. The identification of cancer types that show increased s Show more
BOLD-100 (sodium trans-[tetrachlorobis(1H indazole)ruthenate(III)]) is a ruthenium-based anticancer compound currently in clinical development. The identification of cancer types that show increased sensitivity towards BOLD-100 can lead to improved developmental strategies. Sensitivity profiling can also identify mechanisms of action that are pertinent for the bioactivity of complex therapeutics. Sensitivity to BOLD-100 was measured in a 319-cancer-cell line panel spanning 24 tissues. BOLD-100's sensitivity profile showed variation across the tissue lineages, including increased response in esophageal, bladder, and hematologic cancers. Multiple cancers, including esophageal, bile duct and colon cancer, had higher relative response to BOLD-100 than to cisplatin. Response to BOLD-100 showed only moderate correlation to anticancer compounds in the Genomics of Drug Sensitivity in Cancer (GDSC) database, as well as no clear theme in bioactivity of correlated hits, suggesting that BOLD-100 may have a differentiated therapeutic profile. The genomic modalities of cancer cell lines were modeled against the BOLD-100 sensitivity profile, which revealed that genes related to ribosomal processes were associated with sensitivity to BOLD-100. Machine learning modeling of the sensitivity profile to BOLD-100 and gene expression data provided moderative predictive value. These findings provide further mechanistic understanding around BOLD-100 and support its development for additional cancer types. Show less
📄 PDF DOI: 10.3390/cancers15010028 📎 SI
Biometal
2022 · Cancer & Metabolism · BioMed Central · added 2026-04-21
Background: Metabolic adaptations can allow cancer cells to survive DNA-damaging chemotherapy. This unmet clinical challenge is a potential vulnerability of cancer. Accordingly, there is an intense se Show more
Background: Metabolic adaptations can allow cancer cells to survive DNA-damaging chemotherapy. This unmet clinical challenge is a potential vulnerability of cancer. Accordingly, there is an intense search for mechanisms that modulate cell metabolism during anti-tumor therapy. We set out to define how colorectal cancer CRC cells alter their metabolism upon DNA replication stress and whether this provides opportunities to eliminate such cells more efficiently. Methods: We incubated p53-positive and p53-negative permanent CRC cells and short-term cultured primary CRC Show less
📄 PDF DOI: 10.1186/s40170-022-00286-9
anticancer cancer cancer metabolism chemotherapy colorectal cancer dna dna replication stress electron transport chain
2022 · Biomedicines · MDPI · added 2026-04-21
Oxaliplatin is a platinum analog that can interfere with DNA replication and transcription. Continuous exposure to oxaliplatin results in chemoresistance; however, this mechanism is not well known. In Show more
Oxaliplatin is a platinum analog that can interfere with DNA replication and transcription. Continuous exposure to oxaliplatin results in chemoresistance; however, this mechanism is not well known. In this study, oxaliplatin-resistant (OR) colorectal cancer (CRC) cells of HCT116, HT29, SW480 and SW620 were established by gradually increasing the drug concentration to 2.5 µM. The inhibitory concentrations of cell growth by 50% (IC50 ) of oxaliplatin were 4.40–12.7-fold significantly higher in OR CRC cells as compared to their respective parental (PT) CRC cells. Phospho-Akt and phospho-mammalian target of rapamycin (mTOR) decreased in PT CRC cells but was overexpressed in OR CRC cells in response to oxaliplatin. In addition, an oxaliplatin-mediated decrease in phospho-AMP-activated protein kinase (AMPK) in PT CRC cells induced autophagy. Contrastingly, an increased phospho-AMPK in OR CRC cells was accompanied by a decrease in LC3B, further inducing the activity of glycolytic enzymes, such as glucose transporter 1 (GLUT1), 6-phosphofructo2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) and phosphofructokinase 1 (PFK1), to mediate cell survival. Inhibition of AMPK in OR CRC cells induced autophagy through inactivation of Akt/mTOR pathway and a decrease in GLUT1, PFKFB3, and PFK1. Collectively, targeting AMPK may provide solutions to overcome chemoresistance in OR CRC cells and restore chemosensitivity to anticancer drugs. Human Colorectal Cancer. Biomedicines 2022, 10, 2690. Show less
📄 PDF DOI: 10.3390/biomedicines10112690
akt ampk ampk activation anticancer bioinorganic cancer cell cycle arrest chemoresistance
Zhong M, He J, Zhang B +2 more · 2022 · Free Radical Biology and Medicine · Elsevier · added 2026-05-01
Photodynamic therapy (PDT) is a non-invasive, light-activated treatment approach that has been broadly employed in cancer. Cyclometallic iridium (Ш) complexes are candidates for ideal photosensitizers Show more
Photodynamic therapy (PDT) is a non-invasive, light-activated treatment approach that has been broadly employed in cancer. Cyclometallic iridium (Ш) complexes are candidates for ideal photosensitizers due to their unique photophysical and photochemical features, such as high quantum yield, large Stokes shift, strong resistance to photobleaching, and high cellular permeability. We evaluated a panel of iridium complexes and identified PC9 as a powerful photosensitizer to kill cancer cells. PC9 shows an 8-fold increase of cytotoxicity to HeLa cells under light irradiation. Further investigation discloses that PC9 has a strong mitochondrial-targeting ability and can inhibit the antioxidant enzyme thioredoxin reductase, which contributes to improving PDT efficacy. Our data indicate that iridium complexes are efficient photosensitizers with distinct physicochemical properties and cellular actions, and deserve further development as promising agents for PDT. Show less
📄 PDF DOI: 10.1016/j.freeradbiomed.2022.12.091
Biometal
Ivelise Dimbarre Lao Guimarães, Flávia Marszaukowski, Priscila Buhrer Rutka +8 more · 2022 · Polyhedron · Elsevier · added 2026-05-01
📄 PDF DOI: 10.1016/j.poly.2022.115980
Biometal
2022 · Angewandte Chemie International Edition · Wiley · added 2026-05-21
AbstractSpatiotemporally controllable activation of prodrugs within tumors is highly desirable for cancer therapy to minimize toxic side effects. Herein we report that stable alkylgold(III) complexes Show more
AbstractSpatiotemporally controllable activation of prodrugs within tumors is highly desirable for cancer therapy to minimize toxic side effects. Herein we report that stable alkylgold(III) complexes can undergo unprecedented photo‐induced β‐hydride elimination, releasing alkyl ligands and forming gold(III)‐hydride intermediates that could be quickly converted into bioactive [AuIII−S] adducts; meanwhile, the remaining alkylgold(III) complexes can photo‐catalytically reduce [AuIII−S] into more bioactive AuIspecies. Such photo‐reactivities make it possible to functionalize gold complexes on the auxiliary alkyl ligands without attenuating the metal–biomacromolecule interactions. As a result, the gold(III) complexes containing glucose‐functionalized alkyl ligands displayed efficient and tumor‐selective uptake; notably, after one‐ or two‐photon activation, the complexes exhibited high thioredoxin reductase (TrxR) inhibition, potent cytotoxicity, and strong antiangiogenesis and antitumor activities in vivo. Show less
no PDF DOI: 10.1002/anie.202201103
Mondal A, Shanavas S, Sen U +4 more · 2022 · RSC Advances · Royal Society of Chemistry · added 2026-05-01
To reduce the side effects of marketed cancer drugs against triple negative breast cancer cells we have reported mitochondria targeting half-sandwich iridium(iii)-Cp*-arylimidazophenanthroline complex Show more
To reduce the side effects of marketed cancer drugs against triple negative breast cancer cells we have reported mitochondria targeting half-sandwich iridium(iii)-Cp*-arylimidazophenanthroline complexes for MDA-MB-468 cell therapy and diagnosis. Out of five Ir(iii) complexes (IrL1-IrL5), [iridium(iii)-Cp*-2-(naphthalen-1-yl)-1H-imidazo[4,5-f][1,10]phenanthroline]PF6 (IrL1) has exhibited the best cytoselectivity against MDA-MB-468 cells compared to normal HaCaT cells along with excellent binding efficacy with DNA as well as serum albumin. The subcellular localization study of the complex revealed the localization of the compound in cytoplasm thereby pointing to a possible mitochondrial localization and consequent mitochondrial dysfunction via MMP alteration and ROS generation. Moreover, the IrL1 complex facilitated a substantial G1 phase cell-cycle arrest of MDA-MB-468 cells at the highest tested concentration of 5 μM. The study verdicts support the prospective therapeutic potential of the IrL1 complex in the treatment and eradication of triple negative breast cancer cells. These results validate that these types of scaffolds will be fairly able to exert great potential for tumor diagnosis as well as therapy in the near future. Show less
📄 PDF DOI: 10.1039/D2RA01036D
Biometal
Y. Park, P. Xu, D.M. Parkin +324 more · 2022 · Biomedicines · MDPI · added 2026-04-20
Y. Park, P. Xu, D.M. Parkin, F. Bray, J. Ferlay, P. Pisani, N. Andre, W. Schmiegel, B. Gustavsson, G. Carlsson, D. Machover, N. Petrelli, A. Roth, H. Schmoll, K. Tveit, F. Gibson, G. Housman, S. Byler, S. Heerboth, K. Lapinska, M. Longacre, N. Snyder, S. Sarkar, L. Bao, S. Hazari, S. Mehra, D. Kaushal, K. Moroz, S. Dash, Z. Yuan, X. Shi, Y. Qi, T. Jia, X. Yuan, Y. Zou, C. Liu, H. Yu, Y. Yuan, X. He, A.K. Pandurangan, D. Chao, W. Jiao, C. Yin, N. Jianyun, C. Ceshi, A. Guerrero-Zotano, I.A. Mayer, C.L. Arteaga, C. Han, G. Xing, M. Zhang, M. Zhong, Z. Han, C. He, X. Liu, Z. Zou, T. Tao, H. Li, X. Zhu, D.D. Sarbassov, S.M. Ali, D.M. Sabatini, D. Heras-Sandoval, J.M. Pérez-Rojas, J. Hernández-Damián, J. Pedraza-Chaverri, J. Roper, M.P. Richardson, W.V. Wang, L.G. Richard, W. Chen, E.M. Coffee, M.J. Sinnamon, L. Lee, P. Chen, R.T. Bronson, Y. Kondo, T. Kanzawa, R. Sawaya, S. Kondo, W. Li, Y. Zhou, J. Yang, H. Zhang, P. Zheng, Z. Wang, N. Wang, P. Liu, X. Xie, D. Zhang, W. Wang, X. Sun, D. Xu, C. Wang, Q. Zhang, H. Wang, W. Luo, Y. Chen, H. Chen, Z. Cao, Y. Yang, S. Yu, Y. Li, J. Huang, L. Xiong, S. Lei, C. Peng, M.G. Vander Heiden, L.C. Cantley, C.B. Thompson, D.H. Suh, M.A. Kim, H. Kim, M. Kim, H.S. Kim, H.H. Chung, Y. Kim, Y.S. Song, J. Peng, Y. Cui, S. Xu, X. Wu, Y. Huang, W. Zhou, S. Wang, Z. Fu, H. Xie, G. Wang, Y. Yu, Y.Z. Wang, P.H. Yin, K. Xu, H. Bleiberg, P. Perego, J. Robert, W. Lian, M. Li, R.N. Seetharam, A. Sood, S. Goel, E. Martinez-Balibrea, A. Martínez-Cardús, A. Ginés, V. Ruiz de Porras, C. Moutinho, L. Layos, J.L. Manzano, C. Bugés, S. Bystrup, M. Esteller, P. Noordhuis, A.C. Laan, K. Van de Born, R.J. Honeywell, G.J. Peters, W. Sun, Y. Ge, J. Cui, B. Liu, W. Lu, M. Ma, Q. Yan, W. He, Y. Hu, L. Xia, W. Hou, J. Chai, H. Guo, J. Yu, S.H. Bae, J.H. Park, H.G. Choi, S.H. Kim, H.Y. Yoo, S.Y. Park, S.Y. Chang, G. Meyer, A. Czompa, C. Reboul, E. Stepania, A. Czegledi, I. Bak, G. Balla, J. Balla, A. Tosaki, I. Lekli, W. Cao, J. Li, K. Yang, D. Cao, I. Tanida, T. Ueno, E. Kominami, J.M. Woynarowski, S. Faivre, M.C. Herzig, B. Arnett, W.G. Chapman, A.V. Trevino, E. Raymond, S.G. Chaney, A. Vaisman, M. Varchenko, R. Teng, J. Zhou, B. Seifer, J. Shen, L. Wang, H.R. Kang, C.K. Jeon, S. Lim, J.I. Barrasa, A. Santiago-Gómez, N. Olmo, M.A. Lizarbe, J. Turnay, A. Derjuga, C. Richard, M. Crosato, P.S. Wright, L. Chalifour, J. Valdez, A. Barraso, H.A. Crissman, W. Nishioka, E.M. Bradbury, Q. Shi, S. Li, L. Jin, H. Lai, Y. Wu, Z. Cai, M. Zhu, Q. Li, C.W. Yao, K.A. Kang, M.J. Piao, Y.S. Ryu, P.M.D.J. Fernando, M.C. Oh, J.E. Park, K. Shilnikova, S.-Y. Na, S.U. Jeong, Y. Zhao, X. Hu, Y. Liu, S. Dong, Z. Wen, S. Zhang, Q. Huang, M. Shi, V.G.A. Arciuch, M.A. Russo, K.S. Kang, A.D. Cristofano, L. Vucicevic, M. Misirkic, J. Kristina, U. Vilimanovich, E. Sudar, E. Isenovic, M. Prica, L. Harhaji-Trajkovic, T. Kravic-Stevovic, B. Vladimir, S. Lee, W. Yang, D.K. Kim, M. Shin, K.U. Choi, D.S. Suh, Y.H. Kim, T.-H. Hwang, J.H. Kim, C. Wu, Y. Chao, S. Shiah, W. Lin, M. Mouradian, K.D. Kikawa, B.P. Dranka, S.M. Komas, B. Kalyanaraman, R.S. Pardini, F. Gharibpoor, S.K. Zonouzi, S. Razi, H. Rezaei, Z. Yao, F. Xie, Z. Liang, W. Xu, H. Zhou, L.-H. Qu, D. Catanzaro, D. Gabbia, V. Cocetta, M. Biagi, E. Ragazzi, M. Montopoli, M. Carrara, X. Cao, L. Fang, S. Gibbs, Z. Dai, P. Wen, X. Zheng, W. Sadee, D. Sun, E.E. Mendoza, M.G. Pocceschi, X. Kong, D.B. Leeper, J. Caro, K.H. Limesand, R. Burd, E. Domenech, C. Maestre, L. Esteban-Martínez, D. Partida, R. Pascual, G. Fernandez-Miranda, E. Seco, R. Campos-Olivas, M. Perez, D. Megias Show less
Oxaliplatin is a platinum analog that can interfere with DNA replication and transcription. Continuous exposure to oxaliplatin results in chemoresistance; however, this mechanism is not well known. In Show more
Oxaliplatin is a platinum analog that can interfere with DNA replication and transcription. Continuous exposure to oxaliplatin results in chemoresistance; however, this mechanism is not well known. In this study, oxaliplatin-resistant (OR) colorectal cancer (CRC) cells of HCT116, HT29, SW480 and SW620 were established by gradually increasing the drug concentration to 2.5 μM. The inhibitory concentrations of cell growth by 50% (IC 50 ) of oxaliplatin were 4.40–12.7-fold significantly higher in OR CRC cells as compared to their respective parental (PT) CRC cells. Phospho-Akt and phospho-mammalian target of rapamycin (mTOR) decreased in PT CRC cells but was overexpressed in OR CRC cells in response to oxaliplatin. In addition, an oxaliplatin-mediated decrease in phospho-AMP-activated protein kinase (AMPK) in PT CRC cells induced autophagy. Contrastingly, an increased phospho-AMPK in OR CRC cells was accompanied by a decrease in LC3B, further inducing the activity of glycolytic enzymes, such as glucose transporter 1 (GLUT1), 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) and phosphofructokinase 1 (PFK1), to mediate cell survival. Inhibition of AMPK in OR CRC cells induced autophagy through inactivation of Akt/mTOR pathway and a decrease in GLUT1, PFKFB3, and PFK1. Collectively, targeting AMPK may provide solutions to overcome chemoresistance in OR CRC cells and restore chemosensitivity to anticancer drugs. Show less
📄 PDF DOI: 10.3390/biomedicines10112690 📎 SI
Pt amino-acid anticancer
Kravchuk, Vladyslav, Petrova, Olga, Kampjut, Domen +3 more · 2022 · Nature Publishing Group · Nature · added 2026-04-20
Cryo-electron microscopy studies of Escherichia coli complex I suggest a conserved mechanism of coupled proton transfers and electrostatic interactions that result in proton ejection from the complex Show more
Cryo-electron microscopy studies of Escherichia coli complex I suggest a conserved mechanism of coupled proton transfers and electrostatic interactions that result in proton ejection from the complex exclusively at the distal NuoL subunit. Show less
📄 PDF DOI: 10.1038/s41586-022-05199-7
bioenergetics complex i cryo-electron microscopy electrostatic interactions escherichia coli mitochondria mitochondrial disorders proton ejection
Wen-Yan Mo, Mo, Wen-Yan, Shi-Qiong Cao +1 more · 2022 · Springer International Publishing · Springer · added 2026-04-20
Cancer is frequently caused by microRNAs, which control post-transcriptional levels of gene expression by binding to target mRNAs. MiR-29a-3p has recently been shown to play a twofold function in the Show more
Cancer is frequently caused by microRNAs, which control post-transcriptional levels of gene expression by binding to target mRNAs. MiR-29a-3p has recently been shown to play a twofold function in the majority of malignancies, including colorectal cancer (CRC), according to mounting evidence. Here, we not only briefly summarize such connection between miR-29a-3p and cancers, but aslo primarily evaluate the miR-29a-3p expression pattern, clinical applicability, and molecular mechanisms in CRC to provide a guide for future studies. This review established the diagnostic and prognostic value of miR-29a-3p abnormalty in a variety of clinical samples for CRC. Furthermore, current molecular mechanisms of miR-29a-3p for regulating cancerous biological processes such growth, invasion, metastasis, the epithelial-mesenchymal transformation process, and immunomodulation through its upstream regulatory factors and downstream targeted genes were briefly explored. More specifically, miR-29a-3p has been linked to a few medications that have been shown to have anticancer benefits. To sum up, miR-29a-3p is a promising biomarker and prospective therapeutic target for the diagnosis and prognosis of CRC, but further research is still needed to establish a theoretical basis for more practical applications. Show less
📄 PDF DOI: 10.1007/s12094-022-02978-6
anticancer review
Gu YQ, Shen WY, Yang QY +2 more · 2022 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-01
Title: Ru(III) complexes with pyrazolopyrimidines as anticancer agents: bioactivities and the underlying mechanisms. Abstract: Three ruthenium(III) complexes with pyrazolopyrimidine [Ru(Ln)(H2O)Cl3] Show more
Title: Ru(III) complexes with pyrazolopyrimidines as anticancer agents: bioactivities and the underlying mechanisms. Abstract: Three ruthenium(III) complexes with pyrazolopyrimidine [Ru(Ln)(H2O)Cl3] (1-3, n = 1-3) were prepared and characterized. These Ru(III) compounds show strong cytotoxicity against six cancer cell lines and low toxicity to normal human liver cells. Particularly, they exhibited stronger cytotoxicity to SK-OV-3 cells than cisplatin. Mechanism studies revealed that complex 1 inhibited tumor cell invasion and suppressed cell proliferation, induced apoptosis by elevating the levels of intracellular ROS (reactive oxygen species) and free calcium (Ca2+), and reduced mitochondrial membrane potential (ΔΨ). It also activated the caspase cascade, accompanied with upregulation of cytochrome c, Bax, p53, Apaf-1 and downregulation of Bcl-2. Moreover, complex 1 caused cell cycle arrest at S phase by inhibiting the expression of CDC 25, cyclin A2 and CDK 2 proteins, and induced DNA damage by interacting with DNA and inhibiting the topoisomerase I enzyme. Complex 1 exhibited efficient in vivo anticancer activity in a model of SK-OV-3 tumor xenograft. Show less
📄 PDF DOI: 10.1039/d1dt02765d
Biometal apoptosis
Nicholas P. Bigham, Zhouyang Huang, Jesse Spivey +3 more · 2022 · Inorganic Chemistry · ACS Publications · added 2026-04-20
The mitochondrial calcium uniporter (MCU) is a transmembrane protein that resides on the inner membrane of the mitochondria and mediates calcium uptake into this organelle. Given the critical role of Show more
The mitochondrial calcium uniporter (MCU) is a transmembrane protein that resides on the inner membrane of the mitochondria and mediates calcium uptake into this organelle. Given the critical role of mitochondrial calcium trafficking in cellular function, inhibitors of this channel have arisen as tools for studying the biological relevance of this process and as potential therapeutic agents. In this study, four new analogues of the previously reported Ru-based MCU inhibitor [ClRu(NH3)4(μ-N)Ru(NH3)4Cl]Cl3 (Ru265) are reported. These compounds, which bear axial carboxylate ligands, are of the general formula [(RCO2)Ru(NH3)4(μ-N)Ru(NH3)4(O2CR)]X3, where X = NO3- or CF3SO3- and R = H (1), CH3 (2), CH2CH3 (3), and (CH2)2CH3 (4). These complexes were fully characterized by IR spectroscopy, NMR spectroscopy, and elemental analysis. X-ray crystal structures of 1 and 3 were obtained, revealing the expected presence of both the linear Ru(μ-N)Ru core and axial formate and propionate ligands. The axial carboxylate ligands of complexes 1-4 are displaced by water in buffered aqueous solution to give the aquated compound Ru265'. The kinetics of these processes were measured by 1H NMR spectroscopy, revealing half-lives that span 5.9-9.9 h at 37 °C. Complex 1 with axial formate ligands underwent aquation approximately twice as fast as the other compounds. In vitro cytotoxicity and mitochondrial membrane potential measurements carried out in HeLa and HEK293T cells demonstrated that none of these four complexes negatively affects cell viability or mitochondrial function. The abilities of 1-4 to inhibit mitochondrial calcium uptake in permeabilized HEK293T cells were assessed and compared to that of Ru265. Fresh solutions of 1-4 are approximately 2-fold less potent than Ru265 with IC50 values in the range of 14.7-19.1 nM. Preincubating 1-4 in aqueous buffers for longer time periods to allow for the aquation reactions to proceed increases their potency of mitochondrial uptake inhibition to match that of Ru265. This result indicates that 1-4 are aquation-activated prodrugs of Ru265'. Finally, 1-4 were shown to inhibit mitochondrial calcium uptake in intact, nonpermeabilized cells, revealing their value as tools and potential therapeutic agents for mitochondrial calcium-related disorders. Show less
no PDF DOI: 10.1021/acs.inorgchem.2c02930 📎 SI
carboxylate
2022 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-21
New neutral Au(i) glycoconjugate carbene complexes show stability in aqueous solutions and interact with both DNA and protein model systems. Cytotoxicity studies demonstrate that the activity depends Show more
New neutral Au(i) glycoconjugate carbene complexes show stability in aqueous solutions and interact with both DNA and protein model systems. Cytotoxicity studies demonstrate that the activity depends on the halide ancillary ligand. Show less
no PDF DOI: 10.1039/d2dt00423b
2022 · Chemical Science · Royal Society of Chemistry · added 2026-05-21
A redox-active anticancer Au( i ) complex that induces immunogenic cell death in non-small cell lung cancer cells has been identified. Mitochondrial oxidative stress leading to mitophagy-dependent sec Show more
A redox-active anticancer Au( i ) complex that induces immunogenic cell death in non-small cell lung cancer cells has been identified. Mitochondrial oxidative stress leading to mitophagy-dependent secretion of various DAMPs is implicated as the main mechanism inducing ICD. TLDR: It is revealed that BQ-AurIPr induces oxidative stress inside mitochondria leading to mitophagy, as the mechanism for immunogenic cell death in A549 cells, significantly increased immunogenicity of cancer cells enhancing their phagocytosis when co-cultured with immune cells. Show less
no PDF DOI: 10.1039/d2sc03756d
T Marx, J Yang, S Zhou +216 more · 2022 · Cancer & Metabolism · BioMed Central · added 2026-04-20
T Marx, J Yang, S Zhou, Y Wang, Y Li, X Tong, F Guerra, AA Arbini, L Moro, M Huttemann, I Lee, LI Grossman, JW Doan, TH Sanderson, R Diaz-Ruiz, M Rigoulet, A Devin, WH Koppenol, PL Bounds, CV Dang, E Gottlieb, KH Vousden, OD Maddocks, D Hanahan, RA Weinberg, NP Echeverri Ruiz, V Mohan, J Wu, S Scott, M Kreamer, M Benej, T Golias, I Papandreou, NC Denko, MA Desbats, I Giacomini, T Prayer-Galetti, M Montopoli, CS Ahn, CM Metallo, VC Fogg, NJ Lanning, JP Mackeigan, YK Shin, BC Yoo, YS Hong, HJ Chang, KH Jung, SY Jeong, JG Park, MM Schroll, GJ LaBonia, KR Ludwig, AB Hummon, RL Siegel, KD Miller, A Goding Sauer, SA Fedewa, LF Butterly, JC Anderson, A Cercek, RA Smith, A Jemal, S Brandhorst, VD Longo, A Nencioni, I Caffa, S Cortellino, Y Liang, J Liu, Z Feng, CR Berkers, SM Mason, L Zheng, K Blyth, F Yang, SS Teves, CJ Kemp, S Henikoff, K Fujita, Y Kubota, H Ishida, Y Sasaki, A Signes, E Fernandez-Vizarra, Y Chaban, EJ Boekema, NV Dudkina, C Maletzki, S Stier, U Gruenert, M Gock, C Ostwald, F Prall, M Linnebacher, K Prabst, H Engelhardt, S Ringgeler, H Hubner, AV Kudryavtseva, GS Krasnov, AA Dmitriev, BY Alekseev, OL Kardymon, AF Sadritdinova, MS Fedorova, AV Pokrovsky, NV Melnikova, AD Kaprin, M Skrtic, S Sriskanthadevan, B Jhas, M Gebbia, X Wang, Z Wang, R Hurren, Y Jitkova, M Gronda, N Maclean, Y Chen, E McMillan-Ward, J Kong, SJ Israels, SB Gibson, AC Little, I Kovalenko, LE Goo, HS Hong, SA Kerk, JA Yates, V Purohit, DB Lombard, SD Merajver, CA Lyssiotis, C Bailly, SA Huisman, P de Bruijn, IM Ghobadi Moghaddam-Helmantel, CF Labuschagne, NJ van den Broek, GM Mackay, EF Fang, H Kassahun, DL Croteau, M Scheibye-Knudsen, K Marosi, H Lu, RA Shamanna, S Kalyanasundaram, RC Bollineni, MA Wilson, KF Chua, MP Mattson, VA Bohr, MO Turgeon, NJS Perry, G Poulogiannis, Y Rai, R Pathak, N Kumari, DK Sah, S Pandey, N Kalra, R Soni, BS Dwarakanath, AN Bhatt, JE Hutton, LJ Zimmerman, RJ Slebos, IA Trenary, JD Young, M Li, DC Liebler, M Tabuso, M Christian, PK Kimani, K Gopalakrishnan, RP Arasaradnam, BJ Altman, ZE Stine, J Yun, C Rago, I Cheong, R Pagliarini, P Angenendt, H Rajagopalan, K Schmidt, JK Willson, S Markowitz, G Giachin, R Bouverot, S Acajjaoui, S Pantalone, M Soler-Lopez, C Gorrini, IS Harris, TW Mak, S Vogt, A Rhiel, P Weber, R Ramzan, BB Das, A Ghosh, S Bhattacharjee, A Bhattacharyya, Y Pommier, E Leo, H Zhang, C Marchand, TM Ashton, WG McKenna, LA Kunz-Schughart, GS Higgins, A Bansal, MC Simon, L Marx-Blumel, C Marx, M Kuhne, J Sonnemann Show less
Background Metabolic adaptations can allow cancer cells to survive DNA-damaging chemotherapy. This unmet clinical challenge is a potential vulnerability of cancer. Accordingly, there is an intense se Show more
Background Metabolic adaptations can allow cancer cells to survive DNA-damaging chemotherapy. This unmet clinical challenge is a potential vulnerability of cancer. Accordingly, there is an intense search for mechanisms that modulate cell metabolism during anti-tumor therapy. We set out to define how colorectal cancer CRC cells alter their metabolism upon DNA replication stress and whether this provides opportunities to eliminate such cells more efficiently. Methods We incubated p53-positive and p53-negative permanent CRC cells and short-term cultured primary CRC cells with the topoisomerase-1 inhibitor irinotecan and other drugs that cause DNA replication stress and consequently DNA damage. We analyzed pro-apoptotic mitochondrial membrane depolarization and cell death with flow cytometry. We evaluated cellular metabolism with immunoblotting of electron transport chain (ETC) complex subunits, analysis of mitochondrial mRNA expression by qPCR, MTT assay, measurements of oxygen consumption and reactive oxygen species (ROS), and metabolic flux analysis with the Seahorse platform. Global metabolic alterations were assessed using targeted mass spectrometric analysis of extra- and intracellular metabolites. Results Chemotherapeutics that cause DNA replication stress induce metabolic changes in p53-positive and p53-negative CRC cells. Irinotecan enhances glycolysis, oxygen consumption, mitochondrial ETC activation, and ROS production in CRC cells. This is connected to increased levels of electron transport chain complexes involving mitochondrial translation. Mass spectrometric analysis reveals global metabolic adaptations of CRC cells to irinotecan, including the glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways. P53-proficient CRC cells, however, have a more active metabolism upon DNA replication stress than their p53-deficient counterparts. This metabolic switch is a vulnerability of p53-positive cells to irinotecan-induced apoptosis under glucose-restricted conditions. Conclusion Drugs that cause DNA replication stress increase the metabolism of CRC cells. Glucose restriction might improve the effectiveness of classical chemotherapy against p53-positive CRC cells. Graphical Abstract The topoisomerase-1 inhibitor irinotecan and other chemotherapeutics that cause DNA damage induce metabolic adaptations in colorectal cancer (CRC) cells irrespective of their p53 status. Irinotecan enhances the glycolysis and oxygen consumption in CRC cells to deliver energy and biomolecules necessary for DNA repair and their survival. Compared to p53-deficient cells, p53-proficient CRC cells have a more active metabolism and use their intracellular metabolites more extensively. This metabolic switch creates a vulnerability to chemotherapy under glucose-restricted conditions for p53-positive cells. Supplementary Information The online version contains supplementary material available at 10.1186/s40170-022-00286-9. Show less
📄 PDF DOI: 10.1186/s40170-022-00286-9 📎 SI
DNA-binding ROS mitochondria
Wang WJ, Ling YY, Zhong YM +3 more · 2022 · Angewandte Chemie International Edition · Wiley · added 2026-05-01
Ferroptosis is a programmed cell death pathway discovered in recent years, and ferroptosis-inducing agents have great potential as new antitumor candidates. Here, we report a IrIII complex Show more
Ferroptosis is a programmed cell death pathway discovered in recent years, and ferroptosis-inducing agents have great potential as new antitumor candidates. Here, we report a IrIII complex (Ir1) containing a ferrocene-modified diphosphine ligand that localizes in lysosomes. Under the acidic environments of lysosomes, Ir1 can effectively catalyze Fenton-like reaction, produce hydroxyl radicals, induce lipid peroxidation, down-regulate glutathione peroxidase 4, and result in ferroptosis. RNA sequencing analysis shows that Ir1 can significantly affect pathways related to ferroptosis and cancer immunity. Accordingly, Ir1 can induce immunogenic cells death and suppress tumor growth in vitro, regulate T cell activity and immune microenvironments in vivo. In conclusion, we show the potential of small molecules with ferroptosis-inducing capabilities for effective cancer immunotherapy. Show less
📄 PDF DOI: 10.1002/anie.202115247
Biometal
2022 · Frontiers in Oncology · Frontiers · added 2026-04-21
BackgroundChemotherapy, radiotherapy, targeted therapy and immunotherapy have demonstrated expected clinical efficacy, while drug resistance remains the predominant limiting factor to therapeutic fail Show more
BackgroundChemotherapy, radiotherapy, targeted therapy and immunotherapy have demonstrated expected clinical efficacy, while drug resistance remains the predominant limiting factor to therapeutic failure in patients with colorectal cancer (CRC). Although there have been numerous basic and clinical studies on CRC resistance in recent years, few publications utilized the bibliometric method to evaluate this field. The objective of current study was to provide a comprehensive analysis of the current state and changing trends of drug resistance in CRC over the past 20 years.MethodsThe Web of Science Core Collection (WOSCC) was utilized to extracted all studies regarding drug resistance in CRC during 2002-2021. CiteSpace and online platform of bibliometrics were used to evaluate the contributions of various countries/regions, institutions, authors and journals in this field. Moreover, the recent research hotspots and promising future trends were identified through keywords analysis by CiteSpace and VOSviewer.Results1451 related publications from 2002 to 2021 in total were identified and collected. The number of global publications in this field has increased annually. China and the USA occupied the top two places with respect to the number of publications, contributing more than 60% of global publications. Sun Yat-sen University and Oncotarget were the institution and journal which published the most papers, respectively. Bardelli A from Italy was the most prolific writer and had the highest H-index. Keywords burst analysis identified that “Growth factor receptor”, “induced apoptosis” and “panitumumab” were the ones with higher burst strength in the early stage of this field. Analysis of keyword emergence time showed that “oxaliplatin resistance”, “MicroRNA” and “epithelial mesenchymal transition (EMT)” were the keywords with later average appearing year (AAY).ConclusionsThe number of publications and research interest on drug resistance in CRC have been increasing annually. The USA and China were the main driver and professor Bardelli A was the most outstanding researcher in this field. Previous studies have mainly concentrated on growth factor receptor and induced apoptosis. Oxaliplatin resistance, microRNA and EMT as recently appeared frontiers of research that should be closely tracked in the future. Show less
📄 PDF DOI: 10.3389/fonc.2022.947658
bibliometric analysis cancer cancer research colorectal cancer drug resistance oncology visualized analysis
Jyotsana N, Ta KT, DelGiorno KE · 2022 · Frontiers in Oncology · Frontiers · added 2026-04-20
SLC7A11/xCT is an antiporter that mediates the uptake of extracellular cystine in exchange for glutamate. Cystine is reduced to cysteine, which is a rate-limiting precursor in glutathione synthesis; a Show more
SLC7A11/xCT is an antiporter that mediates the uptake of extracellular cystine in exchange for glutamate. Cystine is reduced to cysteine, which is a rate-limiting precursor in glutathione synthesis; a process that protects cells from oxidative stress and is, therefore, critical to cell growth, proliferation, and metabolism. SLC7A11 is expressed in different tissues and plays diverse functional roles in the pathophysiology of various diseases, including cancer, by regulating the processes of redox homeostasis, metabolic flexibility/nutrient dependency, immune system function, and ferroptosis. SLC7A11 expression is associated with poor prognosis and drug resistance in cancer and, therefore, represents an important therapeutic target. In this review, we discuss the molecular functions of SLC7A11 in normal versus diseased tissues, with a special focus on how it regulates gastrointestinal cancers. Further, we summarize current therapeutic strategies targeting SLC7A11 as well as novel avenues for treatment. Show less
📄 PDF DOI: 10.3389/fonc.2022.858462 📎 SI
Fe ROS review synthesis
2022 · Inorganica Chimica Acta · Elsevier · added 2026-05-21
no PDF DOI: 10.1016/j.ica.2022.121032
Foteeva, Lidia S., Lidia S. Foteeva, Nosova, Yulia N. +7 more · 2022 · Springer Singapore · Springer · added 2026-04-20
Using inductively coupled plasma mass spectrometry (in combination with ultrafiltration) and microemulsion electrokinetic chromatography, the drug properties of two new, potentially multi-targeting Ru Show more
Using inductively coupled plasma mass spectrometry (in combination with ultrafiltration) and microemulsion electrokinetic chromatography, the drug properties of two new, potentially multi-targeting Ru(III) and Pt(IV) compounds, containing biologically active ligands, were evaluated. The ruthenium complex with bexarotene was shown to bind to albumin faster than to transferrin and exhibits much the same (to albumin) binding profile in human serum. The Pt(IV)–lonidamine complex interacts with albumin relatively slowly but possesses high stability and lipophilicity (log P 1.62), which makes it possible the cellular uptake in a free (of proteins) form. Although both examined compounds display a moderate solubility (below 10–4 M), this stands compatible with their nanomolar cytotoxic activities. The Ru(III) compound, whose active moiety is a complexed anion, is deemed promising to be loaded on nanoscale anion-exchangers with the aim of controlled delivery. Graphical abstract Show less
no PDF DOI: 10.1007/s44211-022-00076-9
Pt Ru anticancer
Lehlohonolo Moherane, Orbett T. Alexander, Marietjie Schutte-Smith +6 more · 2022 · Polyhedron · Elsevier · added 2026-05-01
📄 PDF DOI: 10.1016/j.poly.2022.116178
Biometal
Aina Calls, Abel Torres‐Espin, Marc Tormo +7 more · 2022 · Annals of Clinical and Translational Neurology · Wiley · added 2026-04-20
AbstractObjectivesPeripheral neuropathy is a relevant dose‐limiting adverse event that can affect up to 90% of oncologic patients with colorectal cancer receiving oxaliplatin treatment. The severity o Show more
AbstractObjectivesPeripheral neuropathy is a relevant dose‐limiting adverse event that can affect up to 90% of oncologic patients with colorectal cancer receiving oxaliplatin treatment. The severity of neurotoxicity often leads to dose reduction or even premature cessation of chemotherapy. Unfortunately, the limited knowledge about the molecular mechanisms related to oxaliplatin neurotoxicity leads to a lack of effective treatments to prevent the development of this clinical condition. In this context, the present work aimed to determine the exact molecular mechanisms involved in the development of oxaliplatin neurotoxicity in a murine model to try to find new therapeutical targets.MethodsBy single‐cell RNA sequencing (scRNA‐seq), we studied the transcriptomic profile of sensory neurons and satellite glial cells (SGC) of the Dorsal Root Ganglia (DRG) from a well‐characterized mouse model of oxaliplatin neurotoxicity.ResultsAnalysis of scRNA‐seq data pointed to modulation of inflammatory processes in response to oxaliplatin treatment. In this line, we observed increased levels of NF‐kB p65 protein, pro‐inflammatory cytokines, and immune cell infiltration in DRGs and peripheral nerves of oxaliplatin‐treated mice, which was accompanied by mechanical allodynia and decrease in sensory nerve amplitudes.InterpretationOur data show that, in addition to the well‐described DNA damage, oxaliplatin neurotoxicity is related to an exacerbated pro‐inflammatory response in DRG and peripheral nerves, and open new insights in the development of anti‐inflammatory strategies as a treatment for preventing peripheral neuropathy induced by oxaliplatin. Show less
no PDF DOI: 10.1002/acn3.51691
DNA-binding amino-acid