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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
Mubashar Ilyas, Nagesh Manurkar, Muhammad Abbas +5 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
The most significant factor in the design of high-performance nonlinear optical (NLO) materials is electronic symmetry, which directly influences hyperpolarizability and second harmonic generation (SH Show more
The most significant factor in the design of high-performance nonlinear optical (NLO) materials is electronic symmetry, which directly influences hyperpolarizability and second harmonic generation (SHG) response. This work presents two isostructural one-dimensional coordination complexes, {[Co2(CMP)2(BIPY)2(H2O)6]·11H2O}n (I) and {[Ni2(CMP)2(BIPY)2(H2O)6]·11H2O}n (II), (CMP = Cytidine Monophosphate, BIPY = 4,4'-bipyridine), crystallized in the noncentrosymmetric (NCS) P21 space group. The cobalt-based complex (I) establishes an NCS environment due to its pronounced octahedral distortion and lower electronic symmetry, coupled with intrachain hydrogen bonding and π-π stacking, resulting in enhanced hyperpolarizability and a robust second-harmonic generation response. Conversely, the nickel-based complex (II) demonstrates comparatively weaker NLO characteristics attributable to its higher symmetry. Experimental and theoretical findings have established that the superior NLO performance of complex (I) is intrinsically linked to its low symmetry, narrow band gap, and significant intermolecular interactions. This research demonstrates that disrupting electronic symmetry can significantly amplify the nonlinear optical response through supramolecular architecture in coordination polymers. Show less
no PDF DOI: 10.1021/acs.inorgchem.5c04646 📎 SI
Co Ni coordination-chemistry
2026 · Journal of Inorganic Biochemistry · Elsevier · added 2026-05-21
no PDF DOI: 10.1016/j.jinorgbio.2025.113086
Libo Cai, Gang Xu, Shaohua Gou · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
Hepatocellular carcinoma (HCC) is a highly refractory malignancy, for which treatment relies on molecule targeted therapy and/or conventional chemotherapy in clinic. However, these approaches generall Show more
Hepatocellular carcinoma (HCC) is a highly refractory malignancy, for which treatment relies on molecule targeted therapy and/or conventional chemotherapy in clinic. However, these approaches generally suffer from limited efficacy or severe toxicity, restricting their applications. Guided by the targeted drug conjugate (TDC) strategy, the pharmacophore of lenvatinib was modified by incorporating DN604 (C6H10N2O5Pt), a carboplatin analogue, to generate a Pt(II) complex Len-604 (C30H33ClN8O9Pt). This compound was found to possess the specific capability to bind to fibroblast growth factor receptor 4 (FGFR4) protein both in vitro and in vivo, facilitating targeted delivery of DN604 to tumor sites and consequently triggering serious DNA damage in cancer cells. It exhibited potent cytotoxicity against human hepatocellular carcinoma cell lines HUH-7 and SMMC-7721, with IC50 values of 5.62 and 5.64 μM, respectively. Significantly, in HUH-7 xenograft models, Len-604 exhibited stronger antitumor activity than lenvatinib, while showing lower toxicity than cisplatin and its physical mixture with lenvatinib. Show less
no PDF DOI: 10.1021/acs.inorgchem.6c00037 📎 SI
Pt
Shivam Sirohi, Avijit Das, Rajaneesh Kumar Verma +2 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
A molecular CoIII complex (1), supported by a 14-membered macrocyclic ligand, was developed. The oxygen reduction reaction (ORR) catalyzed by 1 was investigated under electroc Show more
A molecular CoIII complex (1), supported by a 14-membered macrocyclic ligand, was developed. The oxygen reduction reaction (ORR) catalyzed by 1 was investigated under electrochemical and spectrochemical conditions in acetonitrile, using trifluoroacetic acid (TFAH) as the proton source, and revealed selective catalytic 4e-/4H+ reduction in both cases. Kinetic analyses revealed a first-order dependence on the concentrations of both catalyst and O2, but no dependence on TFAH or decamethylferrocene (under chemical conditions). The catalytic rate constant was determined to be 3.6 × 103 M-1 s-1 under electrochemical and 90 M-1 s-1 under spectrochemical conditions. A reported Co(III) complex (2), featuring a bis-pyridine-dioxime ligand architecture, also catalyzed the 4e-/4H+ reduction of O2 but displayed first-order dependence on catalyst, TFAH, and O2. These results suggest that variations in the coordination environment around the Co center lead to distinct ORR mechanisms, despite identical product selectivity. Complex 1 exhibited an effective overpotential of 0.78 V, which is 240 mV lower than that of 2eff = 1.02 V), underscoring the role of ligand architecture in tuning the catalytic overpotential. Overall, this study underscores the pivotal role of ligand design in shaping ORR kinetics, mechanism, and efficiency, offering valuable insights for the development of ORR catalysts. Show less
no PDF DOI: 10.1021/acs.inorgchem.5c04519 📎 SI
Co coordination-chemistry
Mu-Han Zhou, Tao Zheng, Wei Li +5 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
The oxygen evolution reaction under neutral conditions remains a significant challenge due to sluggish kinetics and catalyst instability, largely stemming from inefficient proton management. Inspired Show more
The oxygen evolution reaction under neutral conditions remains a significant challenge due to sluggish kinetics and catalyst instability, largely stemming from inefficient proton management. Inspired by the proton-coupled electron transfer (PCET) networks in the oxygen-evolving complex of photosystem II, we report the rational design of two bioinspired cubane-type tetranuclear copper catalysts, Cu4(LGly)4 and Cu4(LGlu)4, functionalized with amino acid derivatives. Electrochemical studies reveal that the glutamate-modified Cu4(LGlu)4 outperforms its glycine counterpart, achieving a remarkable turnover frequency (TOF) of 9.64 ± 0.07 s-1 at a low overpotential of 0.63 V in phosphate buffer solution (pH 7.30). Differential pulse voltammetry and mechanistic investigations indicate a PCET nature for the copper redox transitions. Density functional theory calculations demonstrate that the carboxylate group of the glutamate residue acts as an intrinsic proton relay, significantly lowering the energy barrier for the critical O-O bond formation step. Furthermore, a photovoltaic-electrocatalytic (PV-EC) device utilizing the Cu4(LGlu)4 anode achieves a solar-to-hydrogen (STH) conversion efficiency of 10.24% under neutral conditions, one of the highest reported values without a strong alkaline environment. This work underscores the critical role of second-sphere proton-transfer functionality in designing efficient molecular catalysts for PCET-driven energy conversion reactions. Show less
no PDF DOI: 10.1021/acs.inorgchem.5c04537
Cu
Kevlishvili, Ilia, Dorabawila, Devmin · 2026 · American Chemical Society (ACS) · added 2026-05-10
Canonical string representations have transformed organic cheminformatics, yet transition-metal complexes (TMCs) lack an equivalent that captures coordination geometry, stereochemistry, and donor t...
📄 PDF DOI: 10.26434/chemrxiv-2025-7s3gx/v2 📎 SI
Michel, Roland G. St. · 2026 · · arXiv · added 2026-04-22
Understanding ligand properties is essential for computational high-throughput screening of transition metal complexes. However, ligand properties such as net charge and other information such as thei Show more
Understanding ligand properties is essential for computational high-throughput screening of transition metal complexes. However, ligand properties such as net charge and other information such as their application area are often absent or inconsistently recorded in crystallographic datasets. Here, we construct a ligand dataset from 126,985 mononuclear transition metal complexes curated from the Cambridge Structural Database. Using an iterative charge-balancing workflow that combines complex charges, metal oxidation states, and consensus across crystallographic observations, we confidently assign net charges to 66,810 ligands among 94,581 identified unique ligand structures to curate the Boston Open-Shell Ligand (BOS-Lig) dataset. The workflow assigns ligand charges in homoleptic complexes first and then iteratively propagates these assignments across heteroleptic environments, allowing charges to be inferred even when direct charge information is unavailable. We analyze cases where simple heuristics such as the octet rule would have failed and introduce a purity metric to identify when our charge assignments may be incorrect. Each ligand is also classified in terms of its metal coordinating atoms and whether there are multiple variants (i.e., hemilability). We then link complexes to their associated journal abstracts and apply a topic-modeling workflow to link 25,146 ligands with functional application areas spanning reactivity, redox chemistry, biological chemistry, and photophysical chemistry. Together, we provide an experimentally grounded dataset of ligand chemical space that connects charge and functional application as a foundation for computational screening and data-driven ligand design. Show less
no PDF
bos-lig charge balancing charge-balancing workflow chemistry computational chemistry crystallographic datasets crystallography dataset
Edward C. Lant, Archana C. Jadhav, Annabel Sumeray +13 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
An integrated multimodal imaging workflow of cryogenic super-resolution fluorescence microscopy and soft X-ray tomography, Orbitrap secondary ion mass spectrometry, and inductively coupled plasma-mass Show more
An integrated multimodal imaging workflow of cryogenic super-resolution fluorescence microscopy and soft X-ray tomography, Orbitrap secondary ion mass spectrometry, and inductively coupled plasma-mass spectrometry has revealed the unexpected targeting of a half-sandwich cyclopentadienyl Rh(III) phenylazopyridine anticancer complex to cellular lipid membranes and lipid droplets. The complex accumulates in plasma membranes with a surprisingly intense switch-on luminescence in living cancer cells, drives remodeling of lipid droplet architecture, and penetrates deeply into lipid-rich tissue environments. DFT modeling shows strong supramolecular interactions between the complex and glycerophosphorylcholine lipids. Show less
no PDF DOI: 10.1021/acs.inorgchem.6c00104 📎 SI
anticancer coordination-chemistry
Deng P, Lee H, Armijo C +2 more · 2026 · Science · Science · added 2026-04-21
Defense-associated reverse transcriptases (DRTs) are widespread bacterial anti-phage systems that use unconventional mechanisms of polynucleotide synthesis. We show that DRT3, which comprises two dist Show more
Defense-associated reverse transcriptases (DRTs) are widespread bacterial anti-phage systems that use unconventional mechanisms of polynucleotide synthesis. We show that DRT3, which comprises two distinct RTs (Drt3a and Drt3b) and a noncoding RNA (ncRNA), synthesizes alternating poly(GT/AC) double-stranded DNA. Cryo-electron microscopy structures at 2.6 Å resolution reveal a D3-symmetric 6:6:6 complex of Drt3a, Drt3b, and ncRNA. Drt3a produces the poly(GT) strand using a conserved ACACAC template within the ncRNA. Notably, Drt3b synthesizes a complementary, protein-primed poly(AC) strand in the complete absence of a nucleic acid template, using conserved active site residues specific to Drt3b to enforce precise base alternation. These findings expand the functional landscape of nucleic acid polymerases, revealing a protein-templated mechanism for sequence-specific DNA synthesis. Show less
no PDF DOI: 10.1126/science.aed1656
bacterial anti-phage systems cryo-electron microscopy dna synthesis drt polynucleotide synthesis protein-templated synthesis reverse transcriptase reverse transcriptases
Galymzhan Moldagulov, Kisung Lee, Sanzhar Nurgaliyev +3 more · 2026 · Angewandte Chemie International Edition · Wiley · added 2026-04-20
ABSTRACT Understanding how metals coordinate to organic ligands is a precondition for the rational design of metal complexes and catalysts. Whereas certain types of ligands are capable of just one eas Show more
ABSTRACT Understanding how metals coordinate to organic ligands is a precondition for the rational design of metal complexes and catalysts. Whereas certain types of ligands are capable of just one easy‐to‐predict coordination modality, others may present tens and sometimes even hundreds of coordination options (mono‐, bi‐, or polydentate), and predicting the correct one may be a challenge even to seasoned chemists. The current paper describes a “hybrid” computational approach in which a Machine Learning, ML, algorithm learns to predict complex coordination patterns using knowledge‐based “rules” derived from the Cambridge Structural Database, CSD. This model is applicable to a broad scope of ligands (including hemilabile and haptic ones as well as those with denticity > 6) and different metals at different oxidation states. The algorithm's code is disclosed and can be readily deployed in RDKit via our RDMetallics python‐wrapper. It is also deployed as a publicly accessible web portal for demonstration and use. Show less
no PDF DOI: 10.1002/anie.202524655 📎 SI
Bi ML catalysis coordination-chemistry
Jun Shu, Xianbo Wu, Zixin Tang +5 more · 2026 · Angewandte Chemie International Edition · Wiley · added 2026-04-20
Abstract Most clinically used chemotherapeutic agents act by inducing apoptosis. However, their clinical effectiveness is often limited by poor therapeutic efficacy and the rapid development of drug r Show more
Abstract Most clinically used chemotherapeutic agents act by inducing apoptosis. However, their clinical effectiveness is often limited by poor therapeutic efficacy and the rapid development of drug resistance. In contrast, oncosis, as an inflammatory form of cell death independent of adenosine triphosphate (ATP) and apoptotic pathways, exhibits unique advantages in overcoming tumor drug resistance and regulating anti‐tumor immune responses. Herein, we present the first iridium(III)‐based immunogenic oncosis inducers designed to concurrently induce oncosis and activate the cGAS–STING pathway, thereby bridging chemotherapy with immunotherapy. Through a bioisosteric design strategy, we identified benzoselenazole and benzothiazole derivatives as key pharmacophores for triggering oncosis. These iridium(III)‐based oncosis‐inducers rapidly disrupt mitochondrial architecture, induce oxidative stress, and promote Ca(II) release, which subsequently activate calpain and porimin to initiate oncosis in multidrug‐resistant cancer cells. Transcriptomic profiling further revealed their ability to regulate actin cytoskeleton organization, modulate ABC transporter activity, and affect glycolysis/gluconeogenesis. Notably, the metal complexes induce mitochondrial swelling and mt‐DNA damage, leading to robust activation of the cGAS–STING innate immune pathway and eliciting a strong anticancer immune response. Based on these multimodal mechanisms, the Ir(III)‐based immunogenic oncosis inducers were able to effectively kill drug‐resistant cancer cells and enhance the anticancer immune response in tumor mouse models. TLDR: The first iridium(III)-based immunogenic oncosis inducers designed to concurrently induce oncosis and activate the cGAS-STING pathway are presented, thereby bridging chemotherapy with immunotherapy. Show less
no PDF DOI: 10.1002/anie.202521242
DNA-binding Ir ROS anticancer coordination-chemistry immunogenic mitochondria
2026 · Inorganic Chemistry Frontiers · Royal Society of Chemistry · added 2026-04-20
A new generation of backbone-functionalized NHC–gold( i ) complexes reveals ferroptosis through comprehensive mechanistic and biological investigation.
no PDF DOI: 10.1039/d6qi00134c 📎 SI
Fe NHC anticancer synthesis
2026 · International Journal of Molecular Sciences · MDPI · added 2026-05-21
Encouraged by the promising anticancer activity of a iodidogold(I)-N-heterocyclic carbene (NHC) complex with a 1,3-diethyl-4-anisyl-5-(4-chlorophenyl)imidazol-2-ylidene ligand system, a series of new Show more
Encouraged by the promising anticancer activity of a iodidogold(I)-N-heterocyclic carbene (NHC) complex with a 1,3-diethyl-4-anisyl-5-(4-chlorophenyl)imidazol-2-ylidene ligand system, a series of new gold(I), gold(III) and platinum(II) complexes coordinated to this ligand system were designed, prepared, and characterized using NMR spectroscopy and mass spectrometry methods. A preliminary anticancer screening of the complexes using four esophageal adenocarcinoma (EAC) cell lines showed promising activities for the cationic triphenylphosphino-NHC-gold(I) and bis-NHC-gold(I) complexes, accompanied by strong antiproliferative, colony-, and spheroid-forming inhibitory effects. The compounds were relatively less toxic to the normal esophageal cell line Het-1A and the monocyte cell line THP-1. Moreover, these compounds induced caspase 3/7 activity and downregulated anti-apoptotic proteins (Bcl-XL, Bcl-2, and Mcl-1) in EAC cells. Further, the cell cycle promoter cyclin D1 was suppressed by these NHC-gold(I) complexes. Finally, we observed strong reactive oxygen species (ROS) induction in EAC cells with NHC-gold(I) complexes 8 and 11. TLDR: A preliminary anticancer screening of the complexes using four esophageal adenocarcinoma (EAC) cell lines showed promising activities for the cationic triphenylphosphino-NHC-gold(I) and bis-NHC-gold(I) complexes, accompanied by strong antiproliferative, colony-, and spheroid-forming inhibitory effects. Show less
no PDF DOI: 10.3390/ijms27042032
Nogrady, Bianca · 2026 · Nature 2026 · Nature · added 2026-04-20
A single class of drugs is changing how people think about weight, health and medicine. A single class of drugs is changing how people think about weight, health and medicine.
no PDF DOI: 10.1038/d41586-026-00228-1
semaglutide
2026 · Dalton Transactions · Royal Society of Chemistry · added 2026-05-21
The synthesized Oestradiol-functionalized Au( i ) bis(1,2,3-triazol-5-ylidene) complex exhibits high cytotoxicity and a 7-fold increased cellular uptake in ERα-positive breast cancer cells (MCF-7) com Show more
The synthesized Oestradiol-functionalized Au( i ) bis(1,2,3-triazol-5-ylidene) complex exhibits high cytotoxicity and a 7-fold increased cellular uptake in ERα-positive breast cancer cells (MCF-7) compared to its oestradiol-free analogue. Show less
no PDF DOI: 10.1039/d5dt01763g
Javier Sáez, Luis Vicente Herrera-Marcos, María Jesús Rodríguez-Yoldi +2 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
Colorectal cancer (CRC) remains a major global health challenge, in which chronic inflammation and redox dysregulation are key drivers of tumor progression. Here, we report a rationally designed famil Show more
Colorectal cancer (CRC) remains a major global health challenge, in which chronic inflammation and redox dysregulation are key drivers of tumor progression. Here, we report a rationally designed family of NSAID-derived alkyne ligands coordinated to JohnPhos-gold(I) fragments, affording eight new alkynyl gold(I) derivatives. Complexes based on naproxen, ibuprofen, and salicylic acid derivatives display potent antiproliferative activity against Caco-2/TC7 colon cancer cells, outperforming oxaliplatin and being comparable to auranofin, while showing markedly reduced cytotoxicity in breast cancer lines and nonmalignant cells, thus indicating promising selectivity. Mechanistic studies revealed that the most active complex, [Au(L1)JP] (1), which contains a naproxen-derived alkyne, inhibits thioredoxin reductase (TrxR), triggers ROS overproduction, disrupts mitochondrial membrane potential, and induces G1-phase arrest while only marginally increasing apoptosis. This suggests the involvement of additional forms of cell death or cytostatic effects. Additionally, complex 1 selectively inhibits the enzyme cyclooxygenase-2 (COX-2) over COX-1 and reduces IL-8 expression without affecting PTGS2 transcription, highlighting a post-transcriptional anti-inflammatory action. These results support NSAID-derived alkynyl gold(I) complexes as promising multitarget agents for colorectal cancer intervention, combining disruption and COX-2 modulation. Show less
no PDF DOI: 10.1021/acs.inorgchem.5c05908 📎 SI
Au anticancer
Harman Saman, Karama Makni-Maalej, Dina M Abo El-Ella +12 more · 2026 · Discover Oncology · Springer · added 2026-04-20
Immunotherapy represents a paradigm shift in oncology, rooted in a century of evolving scientific understanding and clinical application. From the pioneering use of Coley’s toxins in the late nineteen Show more
Immunotherapy represents a paradigm shift in oncology, rooted in a century of evolving scientific understanding and clinical application. From the pioneering use of Coley’s toxins in the late nineteenth century to the introduction of cytokine-based interventions, the trajectory of immunotherapeutic approaches has paralleled advancements in immunology and molecular biology. This review comprehensively examines the historical development and progressive refinement of immunotherapy for cancer, charting the transition from non-specific immune stimulation to targeted immune modulation. Central to this discussion are the sophisticated mechanisms by which tumour cells evade immune detection and destruction. These include downregulation of antigen presentation machinery, secretion of immunosuppressive cytokines, recruitment of regulatory T cells and myeloid-derived suppressor cells, and exploitation of immune checkpoint pathways, particularly CTLA-4 and PD-1/PD-L1 axes. The advent of immune checkpoint inhibitors has yielded durable clinical responses in diverse malignancies, substantiating their role as foundational agents in cancer therapy. Nonetheless, both primary and acquired resistance to immune checkpoint inhibition remain significant clinical obstacles. Resistance mechanisms are multifactorial, involving tumour-intrinsic genetic alterations, modulation of the tumour microenvironment, and adaptive changes in immune cell phenotypes. Contemporary research endeavors are directed at overcoming these barriers, including the optimization of combinatorial regimens, development of next-generation checkpoint modulators, tumour-specific vaccines, and the integration of adoptive cell therapies. Future directions in cancer immunotherapy are poised to leverage advances in systems biology, genomics, and single-cell technologies to individualize interventions and enhance therapeutic efficacy. Ultimately, a comprehensive delineation of tumour-immune interactions will underpin the next generation of rational, effective, and durable cancer immunotherapies. Show less
no PDF DOI: 10.1007/s12672-025-04361-7 📎 SI
Pd review
2026 · Journal of Inorganic Biochemistry · Elsevier · added 2026-05-21
no PDF DOI: 10.1016/j.jinorgbio.2026.113216
2026 · Optical Materials · Elsevier · added 2026-04-20
no PDF DOI: 10.1016/j.optmat.2025.117806
Ir cyclometalating
Picard, Martin, Kempes, Christopher P. · 2026 · Nature 2026 651:8105 · Nature · added 2026-04-20
Including energy dynamics in research could improve our understanding of diseases and of the healing processes that sustain health. Including energy dynamics in research could improve our understandin Show more
Including energy dynamics in research could improve our understanding of diseases and of the healing processes that sustain health. Including energy dynamics in research could improve our understanding of diseases and of the healing processes that sustain health. Show less
no PDF DOI: 10.1038/d41586-026-00701-x
alzheimer bioinorganic cancer
Ryu Tashiro, Takuma Yamada, Serika Yano +6 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
Coacervates are dense aqueous phases that form by liquid-liquid phase separation. Seven Pt(II) complexes with different charges and nucleotide reactivities were examined for their ability to induce co Show more
Coacervates are dense aqueous phases that form by liquid-liquid phase separation. Seven Pt(II) complexes with different charges and nucleotide reactivities were examined for their ability to induce coacervate formation in a 21-mer single-stranded DNA (ssDNA). Only AMPZ ([cis-{Pt(NH3)2}2(μ-pyrazolato)(μ-OH)](NO3)2), a cationic dinuclear Pt(II) complex, efficiently induced coacervate formation in ssDNA containing only thymine (T21-DNA). AMPZ has very low reactivity with thymine but relatively high reactivity with guanine, and when three of the thymines in T21-DNA were substituted with a guanine to produce T18-G3-DNA, the resulting coacervate was observed to undergo gelation via the formation of an extensive Pt-DNA coordination-bonded network. We then examined the construction of coacervates that comprise multiple phases by adding AMPZ to a mixture of two types of ssDNAs, a highly reactive T10-G11-DNA and a minimally reactive T21-DNA, and found that two distinct assembly states─a cell mimetic assembly and a DNA-encapsulating gel─could be formed. Show less
no PDF DOI: 10.1021/acs.inorgchem.5c03922
Pt
Zhao, Tianyi, Liu, Renjie, Sun, Yuzhi +8 more · 2026 · Nature Publishing Group · Nature · added 2026-04-20
DECODE is a universal deconvolution framework for both cell types and cell states that can be applied to transcriptomic, proteomic and metabolomic data.
📄 PDF DOI: 10.1038/s41592-026-03007-y
ML
Kotlyar M, Pastrello C, Abovsky M +5 more · 2026 · Nucleic acids research · Oxford University Press · added 2026-04-20
Biomedical research benefits from the rapid growth and diversity of experimentally detected protein-protein interactions (PPIs) by gaining important biological insights. However, increasingly dense PP Show more
Biomedical research benefits from the rapid growth and diversity of experimentally detected protein-protein interactions (PPIs) by gaining important biological insights. However, increasingly dense PPI networks can be challenging to interpret and apply. The 2025 update of the Integrated Interactions Database (IID) enhances accessibility and utility through several new features. We identify and incorporate network structural components from co-purified protein sets, as well as curated and predicted complexes, enabling users to explore network organization beyond binary interactions. Functional, pathway, and disease associations of these components can be analyzed, enabling interactions to be grouped into higher-order structures with known or provisional biological roles. Users can now filter interactions by five detection types: pairwise, co-purification, colocalization, proximity, and other evidence. To extend the value and information of predicted interactions, we include interaction interface predictions for 53 647 PPIs, generated using the MEGADOCK docking algorithm, adding molecular detail for structural biology and variant impact studies. Finally, we map PPIs to 15 immune cell types and 12 additional normal tissues, offering tissue-specific views of interaction networks increasingly relevant in disease and immunology research. IID 2025 now includes over 1 million experimentally detected human PPIs, representing an 83% increase from the previous release, alongside expanded non-human networks. The portal remains publicly available at https://ophid.utoronto.ca/iid. Show less
📄 PDF DOI: 10.1093/nar/gkaf1259 📎 SI
Co amino-acid docking
Shaozhen Jing, Jia Wu, Kai Yang +6 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
Luminescence probes targeting specific membrane receptors are powerful imaging tools for cancer detection and image-guided surgical navigation. However, conventional single receptor targeting probes o Show more
Luminescence probes targeting specific membrane receptors are powerful imaging tools for cancer detection and image-guided surgical navigation. However, conventional single receptor targeting probes often suffer from low specificity and high background interference, limiting their effectiveness in accurately imaging cancer cells. Herein, we developed two dual receptor-mediated luminescent iridium(III) complexes for precise cancer cell imaging using a bioorthogonal activation approach. We strategically designed these probes to target two different biomarkers on the membrane: the benzenesulfonamide group in the N^N ligand targets carbonic anhydrase IX (CAIX), while the biotin moiety linked to endo-9-hydroxymethyl-bicyclo[6.1.0]non-4-yne (BCN) targets the biotin receptor. Complexes 1 and 2 exhibit 16- and 29-fold luminescence enhancement after reacting with BCN-Biotin, with rapid second-order rate constants (k2) of 3.5 × 105 M-1 s-1 and 8.7 × 103 M-1 s-1, respectively. Notably, complex 2 can sensitively and specifically detect cancer cells overexpressing CAIX, as verified by multiple biochemical experiments. On the other hand, complex 2 showed negligible luminescence in cell lines with low expression of CAIX, demonstrating its ability to discriminate cancer cells. Overall, this work demonstrates the promising potential of dual receptor-mediated iridium(III) complexes based on the bioorthogonal activation strategy for the accurate and specific imaging of cancer cells. Show less
no PDF DOI: 10.1021/acs.inorgchem.6c00052 📎 SI
Ir imaging
Tomoyuki Takeyama, Reo Masui, Daisuke Shibata +7 more · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
Debate over the electronic structure of CuIII complexes has intensified in recent years, focusing primarily on whether the [Cu(CF3)4]- moiety should be desc Show more
Debate over the electronic structure of CuIII complexes has intensified in recent years, focusing primarily on whether the [Cu(CF3)4]- moiety should be described as a classical Werner-type 3d8 CuIII complex or as a 3d10 CuI inverted ligand field framework. The copper periodate complex [Cu(HIO6)2]5-, discovered in 1937, has long been regarded as a 3d8 CuIII species and sometimes used as a reference 3d8 CuIII complex in oxidation state assignments for Cu-containing metalloenzymes. Nevertheless, its detailed electronic structure remains unexplored. Herein, we revisit the oxidation state of [Cu(HIO6)2]5- by means of X-ray photoelectron spectroscopy, X-ray absorption spectroscopy, and density functional theory calculations. The obtained results show that the oxidation state of the Cu center in [Cu(HIO6)2]5- lies at the boundary between the classical Werner-type and inverted ligand field regimes. This study thus demonstrates that categorizing the oxidation state of CuIII complexes as either 3d8 or 3d10 configurations is often inadequate; instead, the existence of electronic states at the boundary between these two limiting cases should be recognized. Show less
no PDF DOI: 10.1021/acs.inorgchem.6c00069 📎 SI
Cu
Yunhua Zhao, Zhou Huang, Qing Tang · 2026 · Inorganic Chemistry · ACS Publications · added 2026-04-20
Atomically precise Au25 nanoclusters are ideal catalyst models for unraveling the nanozyme structure-activity relationship due to their well-defined structures and tunable electronic proper Show more
Atomically precise Au25 nanoclusters are ideal catalyst models for unraveling the nanozyme structure-activity relationship due to their well-defined structures and tunable electronic properties. Herein, ab initio molecular dynamics (AIMD) simulations combined with density functional theory (DFT) calculations were employed to systematically investigate the ligand removal behavior and peroxidase (POD)-like catalytic activity of Au25 nanoclusters modified with phosphine (PR), thiol (SR), alkynyl (C≡CR), and N-heterocyclic carbene (NHC) ligands. Constrained AIMD (cAIMD) simulations revealed that all clusters preferentially remove halogen ligands (Cl/Br) with free energy barriers below 0.25 eV, while NHC and phosphine ligands exhibit stronger binding stability with the Au core. The exposed low-coordination gold sites upon halogen removal display excellent POD-like activity, wherein the second *OH reduction (or the second TMB oxidation) is determined to be the rate-determining step (RDS). Among them, [Au25(NHC)10(Br)6]2+-top (removal of Br at the top coordination site) exhibits the most optimal activity with a moderate RDS barrier (0.83 eV) owing to its isolated active site and higher d-band center that balance *OH adsorption and the catalytic activity. This study clarifies the structure-activity relationship of atomically precise Au25 nanoclusters in the peroxidase-like catalysis, providing a quantitative basis for high-efficiency Au-based nanozyme design. Show less
no PDF DOI: 10.1021/acs.inorgchem.6c00279 📎 SI
Au
Yuran Deng, Juntao Hu, Jiachun Wang +8 more · 2026 · ACS Applied Materials & Interfaces · ACS Publications · added 2026-04-20
Liquid-liquid phase separation (LLPS) is a fundamental biophysical process driving the formation of dynamic biomolecular condensates, which spatially organize cellular biochemistry without membrane de Show more
Liquid-liquid phase separation (LLPS) is a fundamental biophysical process driving the formation of dynamic biomolecular condensates, which spatially organize cellular biochemistry without membrane delimitation. These condensates arise from multivalent, weak interactions among intrinsically disordered proteins, modular interaction motifs, and RNA scaffolds, enabling highly tunable and reversible compartmentalization of biomolecules. This phase behavior regulates critical cellular functions such as gene expression, signal transduction, and stress response, while its dysregulation contributes to pathological aggregation and disease. Recent advances leverage LLPS principles to design synthetic condensates with controllable composition, properties, and activities. Combining structural insights, quantitative phase behavior, and synthetic biology tools, engineered condensates have been developed for enhanced catalysis, metabolic control, targeted drug delivery, and biosensing. This review summarizes the molecular mechanisms, design strategies, and translational prospects of LLPS-mediated condensates, thereby paving the way for future exploration at the interface of cellular biophysics and bioengineering. Show less
no PDF DOI: 10.1021/acsami.5c20923
bioengineering biomolecular condensates biosensing catalysis cellular biochemistry coordination chemistry disease gene expression
Zhi-Yuan Li, Long-Bo Yu, Qing-Hua Shen +5 more · 2026 · Chemical Science · Royal Society of Chemistry · added 2026-04-20
Zinc is a crucial element in cellular processes, and its homeostasis has intricate relationships with the initiation, progression, and therapeutic intervention of cancer. Activation of the cyc Show more
Zinc is a crucial element in cellular processes, and its homeostasis has intricate relationships with the initiation, progression, and therapeutic intervention of cancer. Activation of the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway has been proven to be an effective strategy for cancer immunotherapy. Herein, we report four phosphorescent iridium complexes (Ir1–Ir4) with zinc chelating ligands. Among them, Ir1 can bind and image mitochondrial chelatable zinc ions via phosphorescence-lifetime responses, consequently modulating the expression of zinc-regulatory proteins. Furthermore, the in situ formed heteronuclear metal complex Ir1-Zn2 shows nuclease mimetic activities, capable of hydrolyzing mitochondrial DNA (mtDNA) to release mtDNA fragments for the activation of the cGAS-STING pathway. In conclusion, we designed a mitochondria-targeting phosphorescent Ir(III) complex with dual functions in dysregulation of zinc homeostasis and generation of nuclease in situ, which provides an innovative approach to stimulate the cGAS-STING pathway. Show less
📄 PDF DOI: 10.1039/D5SC07181J
Ir Zn coordination-chemistry imaging mitochondria
2026 · European Journal of Medicinal Chemistry · Elsevier · added 2026-05-21
no PDF DOI: 10.1016/j.ejmech.2026.118693
2026 · Frontiers in Chemistry · Frontiers · added 2026-05-21
Four novel gold(I) N-heterocyclic carbene (NHC) complexes were synthesized and characterized; they are tuned in terms of the aromatic extension of the NHC scaffold and two of them contain a thiosugar Show more
Four novel gold(I) N-heterocyclic carbene (NHC) complexes were synthesized and characterized; they are tuned in terms of the aromatic extension of the NHC scaffold and two of them contain a thiosugar residue to enhance their cellular uptake. To verify their potential interaction with human serum albumin (HSA), ESI-MS interaction analysis and fluorescence titrations were performed. Biological studies were carried out to evaluate their possible cytotoxic effect on three ovarian cancer cell lines, i.e., A2780 (both sensitive and cisplatin-resistant), and SKOV-3. Confocal microscopy and fluorescence-activated cell sorting tests were also carried out for the four complexes. Thiosugar conjugation proved to be an effective strategy to enhance potency and selectivity, resulting in a considerable improvement compared to the corresponding complexes lacking the thiosugar moiety. Furthermore, six bioconjugates containing targeting peptides were synthesized; in most cases, no significant improvement in either cytotoxic activity or selectivity was observed, except for the LHRH peptide conjugates, which showed a slight enhancement in both cytotoxicity and selectivity compared to the unconjugated complexes. Show less
📄 PDF DOI: 10.3389/fchem.2026.1724206