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šŸ·ļø Tags (8581 usages)
āš—ļø Metals 2492 ā–¶
ā–ø 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)
ā–ø 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)
ā–ø Metals — Iron (60)
ā–ø 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)
ā–ø Metals — Copper (63)
ā–ø Metals — Gold (19)
ā–ø Metals — Iridium (29)
ā–ø Metals — Others (17)
ā–ø Metals — Palladium (13)
ā–ø Metals — Zinc (5)
ā–ø Metals — Other (17)
šŸ”¬ Methods 1118 ā–¶
ā–ø Methods — Other experimental (213)
synthesis (246)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)
ā–ø Methods — Computational (31)
ā–ø Methods — Crystallography / Structure (4)
ā–ø Methods — Cell biology (21)
ā–ø Methods — Spectroscopy (19)
ā–ø Methods — Genomics / Omics (25)
ā–ø Methods — Mass spec / Chromatography (6)
ā–ø Methods — Clinical / Epidemiology (8)
ā–ø Methods — Electrochemistry (5)
ā–ø Methods — Other (1)
šŸŽÆ Targets 980 ā–¶
ā–ø Targets — Mitochondria (15)
ā–ø 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)
ā–ø Targets — Nucleic acids (44)
ā–ø Targets — Membrane / Transport (15)
ā–ø Targets — Enzymes / Kinases (18)
ā–ø Targets — Transcription factors (5)
🦠 Diseases 880 ā–¶
ā–ø Diseases — Cancer (69)
ā–ø Diseases — Other (41)
ā–ø Diseases — Neurodegenerative (18)
ā–ø Diseases — Inflammatory / Immune (6)
ā–ø Diseases — Metabolic (5)
ā–ø Diseases — Cardiovascular (6)
ā–ø Diseases — Hepatic / Renal (8)
āš™ļø Mechanisms 800 ā–¶
ā–ø Mechanisms — ROS / Redox (65)
ā–ø 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)
ā–ø Mechanisms — Signaling (51)
ā–ø Mechanisms — Immune modulation (21)
ā–ø Mechanisms — DNA damage / Repair (5)
ā–ø Mechanisms — Epigenetic (18)
ā–ø Mechanisms — Cell death (7)
ā–ø Mechanisms — Protein interaction (14)
ā–ø Mechanisms — Metabolic rewiring (8)
šŸ”— Ligands 646 ā–¶
ā–ø Ligands — N-donor (25)
ā–ø Ligands — Heterocyclic (9)
ā–ø Ligands — C-donor / NHC (4)
ā–ø Ligands — S-donor (14)
ā–ø Ligands — O-donor (7)
ā–ø Ligands — Other (8)
ā–ø Ligands — P-donor (2)
ā–ø Ligands — Peptide / Protein (4)
ā–ø Ligands — Macrocyclic (3)
ā–ø Ligands — Polydentate (5)
🧠 Concepts 612 ā–¶
ā–ø 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)
ā–ø Concepts — Bioinorganic (7)
ā–ø Concepts — Thermodynamics / Kinetics (10)
ā–ø Concepts — Evolution / Origin of life (9)
ā–ø Concepts — Nanomedicine / Delivery (2)
ā–ø Concepts — Cancer biology (1)
šŸ“¦ Other 583 ā–¶
ā–ø Other (169)
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21 articles with selected tags
Leroy E. Laverman, Kalju Kahn, Peter C. Ford Ā· 2026 Ā· Inorganic Chemistry Ā· ACS Publications Ā· added 2026-04-20
Described are multiple approaches using density functional theory to probe the acid catalyzed aquation of the hexaammineruthenium(II) cation (Ru(NH3)62+ + H3Show more
Described are multiple approaches using density functional theory to probe the acid catalyzed aquation of the hexaammineruthenium(II) cation (Ru(NH3)62+ + H3O+ → Ru(NH3)5(H2O)2+ + NH4+) reported initially by Taube and co-workers. These computations support the proposal that the initial step is protonation of the Ru(II) center and/or the metal-NH3 bond, thereby activating the latter toward dissociation. DFT analysis was also carried out for the hypothetical acid-mediated aquation of the isoelectronic hexaamminerhodium(III) complex, Rh(NH3)63+. The computations suggest a key mechanistic difference for the latter pathway, namely that protonation of the NH3 occurs late in a reaction coordinate involving dissociation of the Rh-NH3 with no direct interaction of H+ with the metal center. Furthermore, while the calculated activation energy is considerably higher in the latter case, the calculations suggest that protonation could play an important role in such ligand substitution reactions. Show less
no PDF DOI: 10.1021/acs.inorgchem.5c04087
DFT Re Ru
Maryam Niazi, IvÔn Maisuls, Cristian A. Strassert +2 more · 2025 · Dalton Transactions · Royal Society of Chemistry · added 2026-04-20
In the frame of our research aiming to develop efficient triplet-emitting materials, we are exploring the role of the second coordination sphere in enhancing the rigidity of structures and its control Show more
In the frame of our research aiming to develop efficient triplet-emitting materials, we are exploring the role of the second coordination sphere in enhancing the rigidity of structures and its controlling aspect over the extents of excited state distortions. We thus synthesised three N^C^N cyclometalated complexes [M(LBn)Cl] (M = Pt, Pd, and Ni), where the two ortho-positions of the pyridyl moieties in 1,3-di(2-pyridyl)-benzene are benzyl substituted (Bn) forming a tight binding pocket for the metal and the Clāˆ’ ancillary ligand. The molecular structures from single-crystal X-ray diffraction show a markedly distorted square planar M(II) coordination with Ļ„4 values of around 0.4. UV-vis absorption spectra show long-wavelength bands in the range 350 to 5400 nm with the energies increasing along the series Ni < Pt < Pd. The Pt(II) complex emits in solution at 298 K (Ī»max = 544 nm) and displays aggregated emission within poly(methyl methacrylate) (PMMA) films at various concentrations at 298 K. The Pd(II) derivative exhibits a broad emission band at 77 K in a frozen glassy 2-MeTHF matrix, peaking at 530 nm. Very different from the Pt(II) and Pd(II) spectra, the Ni(II) sample showed a broad emission with Ī»max = 699 nm at 77 K, with a quantum yield of 20% and ms lifetime. TD-DFT calculated decomposition of the assumed emissive T1 state showed similar 3MLCT character of about 30% for all three complexes, but marked differences in LC character of about 38% for Pd and Pt and only 5% for Ni. In turn, for Ni the by far the highest MC character (42%) was calculated which strongly speaks against triplet photoluminescence from the Ni(II) complex. Show less
šŸ“„ PDF DOI: 10.1039/D5DT01385B
DFT Ni Pd Pt X-ray coordination-chemistry cyclometalating
Mannaa, Abdullah H., Gomaa, Esam A., Zaky, Rania R. +2 more Ā· 2025 Ā· Nature Publishing Group Ā· Nature Ā· added 2026-04-20
Copper(II), manganese(II), and mercury(II) complexes of 4-amino-5-(2-(1-pyridine-2-yl)ethylidene)hydrazinyl)-4H-1,2,4-triazole-3-thiol (H2TAP) were synthesized and characterized using CHN analysis, FT Show more
Copper(II), manganese(II), and mercury(II) complexes of 4-amino-5-(2-(1-pyridine-2-yl)ethylidene)hydrazinyl)-4H-1,2,4-triazole-3-thiol (H2TAP) were synthesized and characterized using CHN analysis, FT-IR, 1H-NMR, 13C-NMR, UV–Vis, ESR, MS, PXRD, magnetic moment measurements, molar conductance, and TG/DTA. DFT calculations indicate octahedral geometries and the neutral bidentate or tridentate chelating behavior of the ligand. Cyclic voltammetry revealed the complexes’ redox properties, and Job’s method elucidated stoichiometric compositions in solution. Biochemical assays demonstrated antimicrobial activity against Escherichia coli, Staphylococcus aureus, and Candida albicans. The MnII complex exhibited potent antitumor activity against HepG-2 cells. Antioxidant and DNA binding studies showed promising results, with docking investigations indicating strong interactions between the ligand/complexes and target proteins (PDB: 1YWN) and DNA (PDB: 8EC1), suggesting therapeutic potential. Show less
šŸ“„ PDF DOI: 10.1038/s41598-025-15782-3
Cu DFT DNA-binding Ir NMR antibacterial anticancer coordination-chemistry
2024 Ā· Chemical Physics Impact Ā· Elsevier Ā· added 2026-04-20
no PDF DOI: 10.1016/j.chphi.2024.100581
DFT Pt X-ray anticancer phosphine synthesis tetrazole
Ekaterina G. Ragoyja, Vitaly E. Matulis, Oleg A. Ivashkevich +2 more Ā· 2023 Ā· The Journal of Physical Chemistry C Ā· ACS Publications Ā· added 2026-04-20
no PDF DOI: 10.1021/acs.jpcc.2c09042
Ag DFT catalysis
Vitaly E. Matulis, Oleg A. Ivashkevich, Daniil D. Lappo +2 more Ā· 2023 Ā· The Journal of Physical Chemistry C Ā· ACS Publications Ā· added 2026-04-20
no PDF DOI: 10.1021/acs.jpcc.3c03844
Ag Cu DFT
K. S. Smirnova, Smirnova, K. S., Yu. A. Golubeva +3 more Ā· 2022 Ā· Pleiades Publishing Ā· added 2026-04-20
Abstract The crystal structure of the Cu(II) binuclear complex with 5-phenyltetrazole and 4,4'-dimethyl-2,2'-bipyridine (dmbipy), [Cu2(dmbipy)2L4], has been determined. The complex crystallizes in a m Show more
Abstract The crystal structure of the Cu(II) binuclear complex with 5-phenyltetrazole and 4,4'-dimethyl-2,2'-bipyridine (dmbipy), [Cu2(dmbipy)2L4], has been determined. The complex crystallizes in a monoclinic space group P21/c. The distorted square-pyramidal environment of Cu(II) atoms is formed by five nitrogen atoms belonging to three 5-phenyltetrazolate anions and one dmbipy molecule. Due to the presence of the intermolecular interactions π···π and C–HĀ·Ā·Ā·Ļ€, the binuclear molecules combine into a supramolecular layered structure. The bonding energy has been calculated in terms of the density functional theory for two models of the [Cu2(dmbipy)2L4] complex with various coordination modes of the bridging 5-phenyltetrazole. Show less
no PDF DOI: 10.1134/S1063774522040150
Cu DFT X-ray pyridine
Jane M. Donnelly, Frederik Lermyte, Juliusz A. Wolny +8 more Ā· 2021 Ā· Chemical Communications Ā· Royal Society of Chemistry Ā· added 2026-04-20
The stable complex [bis(toluene-3,4-dithiolato)copper(III)][NEt3H] has been synthesised and characterised as a square-planar Cu(III) complex by X-ray photoelectron spectroscopy, cyclic voltamm Show more
The stable complex [bis(toluene-3,4-dithiolato)copper(III)][NEt3H] has been synthesised and characterised as a square-planar Cu(III) complex by X-ray photoelectron spectroscopy, cyclic voltammetry and DFT calculations. Intriguingly, when fragmented in FTICR-MS, an unusual [(toluene-3,4-dithiolate)Cu(III)(peroxide)]āˆ’ complex is formed by reaction with oxygen. Natural 1,2-dithiolenes known to bind molybdenum might stabilise Cu(III) in vivo. Show less
šŸ“„ PDF DOI: 10.1039/D0CC06921C
Cu DFT X-ray thiolate
Vitaly E. Matulis, Ekaterina G. Ragoyja, Oleg A. Ivashkevich +2 more Ā· 2021 Ā· The Journal of Physical Chemistry C Ā· ACS Publications Ā· added 2026-04-20
no PDF DOI: 10.1021/acs.jpcc.0c08417
Ag DFT catalysis
Pranay Sharma, Anshuman Gogoi, Akalesh K. Verma +2 more Ā· 2020 Ā· New Journal of Chemistry Ā· Royal Society of Chemistry Ā· added 2026-04-20
Two new coordination complexes of Cu(II) and Mn(II), viz., [Cu(bpy)(H2O)4]SO4Ā·2H2O (1) and [Mn(4-CNpy)2(H2O)3SO4]Ā·H2O (2) (bpy = 2,2′-bipyridine, 4-CNpy = 4-cyanopyridine), have been synthesiz Show more
Two new coordination complexes of Cu(II) and Mn(II), viz., [Cu(bpy)(H2O)4]SO4Ā·2H2O (1) and [Mn(4-CNpy)2(H2O)3SO4]Ā·H2O (2) (bpy = 2,2′-bipyridine, 4-CNpy = 4-cyanopyridine), have been synthesized and characterized by using single crystal X-ray diffraction, elemental analysis, FT-IR spectroscopy, electronic spectroscopic techniques and TGA. The crystal structure of 1 uncovers the formation of sulfate–water assemblies involving lattice and coordinated water molecules, while complex 2 reveals the presence of unconventional weak T-shaped CN⋯CN contacts in the layered architecture. We have analysed the unconventional interesting interactions using DFT calculations, molecular electrostatic potential (MEP), the NCI plot and QTAIM computational tools. The interaction energies of the two H-bonded dimers in 1 are very large because of the coulombic attraction between the dicationic H-bonded donor and the dianionic acceptor. It is interesting to observe that despite the energy of the H-bonds being very small compared to the total dimerization energy, the final geometry of the assembly in 1 is due to the charge assisted directional H-bonds instead of the non-directional ion-pair interactions. The DFT study reveals that the T-shaped CN⋯CN interaction in 2 is very weak, in good agreement with the small MEP energy at the nitrile carbon atom. Anticancer studies of the compounds have been carried out using Dalton's lymphoma cell line using MTT and apoptosis assay. The results of compound 1 and 2 mediated cell cytotoxicity on the DL cancer cell line showed a significant concentration-dependent reduction in cell viability, while negligible cytotoxicity was observed in normal (PBMC) cells. The docking simulation results also confirm the interaction of the complexes with the active sites of amino acids of the target proteins. Furthermore, pharmacophore models (2D and 3D) for the compounds were mapped to the H-bond donor, positive ionisable area and hydrophobic features that are important for establishing biological activities. No hematotoxicity was recorded for the compounds after treatment in normal mice. Show less
šŸ“„ PDF DOI: 10.1039/D0NJ00075B
Cu DFT Ir X-ray amino-acid anticancer coordination-chemistry docking
Janina Kuduk-Jaworska, Jerzy J Jański, Szczepan Roszak Ā· 2020 Ā· Journal of molecular modeling Ā· Springer Ā· added 2026-04-20
The results of theoretical simulations of reaction paths for oxaliplatin from pro-drug into its active form responsible for cytostatic effect are presented. The studies based on the quantum-chemical d Show more
The results of theoretical simulations of reaction paths for oxaliplatin from pro-drug into its active form responsible for cytostatic effect are presented. The studies based on the quantum-chemical density functional theory approach were performed considering environmental influence resulting from the aquation or electron donation. The hybrid mechanisms: hydrolytic mixed with electron driven were found to be the energetically favourable. Show less
šŸ“„ PDF DOI: 10.1007/s00894-020-04549-4
DFT prodrug
Eslam Dabbish, Nino Russo, Emilia Sicilia Ā· 2020 Ā· Chemistry – A European Journal Ā· Wiley Ā· added 2026-04-20
AbstractIn the effort to overcome issues of toxicity and resistance inherent to treatment by the approved platinum anticancer agents, a large number of cisplatin variants continues today to be prepare Show more
AbstractIn the effort to overcome issues of toxicity and resistance inherent to treatment by the approved platinum anticancer agents, a large number of cisplatin variants continues today to be prepared and tested. One of the applied strategies is to use monofunctional platinum complexes that, unlike traditional bifunctional compounds, are able to form only a single covalent bond with nuclear DNA. Chirality, aquation reaction, interaction with guanine and N‐acetyl methionine as well as, intercalation into, binding to and distortion of DNA have been investigated by using both quantum mechanical DFT and molecular dynamics computations aiming at contributing to the elucidation of the molecular mechanism underlying the significantly enhanced spectrum of activity of the monofunctional PtII drug phenanthriplatin. Analogous calculations have been performed in parallel for other two less potent monofunctional PtII drugs, pyriplatin and enpyriplatin, which show very different cytotoxic effects. Show less
no PDF DOI: 10.1002/chem.201903831
DFT Pt anticancer
Varadwaj, Pradeep R., Varadwaj, Arpita, Marques, Helder M. +1 more Ā· 2019 Ā· Nature Publishing Group Ā· Nature Ā· added 2026-04-20
The CH3NH3PbI3 (methylammonium lead triiodide) perovskite semiconductor system has been viewed as a blockbuster research material during the last five years. Because of its complicated architecture, s Show more
The CH3NH3PbI3 (methylammonium lead triiodide) perovskite semiconductor system has been viewed as a blockbuster research material during the last five years. Because of its complicated architecture, several of its technological, physical and geometrical issues have been examined many times. Yet this has not assisted in overcoming a number of problems in the field nor in enabling the material to be marketed. For instance, these studies have not clarified the nature and type of hydrogen bonding and other noncovalent interactions involved; the origin of hysteresis; the actual role of the methylammonium cation; the nature of polarity associated with the tetragonal geometry; the unusual origin of various frontier orbital contributions to the conduction band minimum; the underlying phenomena of spin-orbit coupling that causes significant bandgap reduction; and the nature of direct-to-indirect bandgap transition features. Arising from many recent reports, it is now a common belief that the IĀ·Ā·Ā·H–N interaction formed between the inorganic framework and the ammonium group of CH3NH3+ is the only hydrogen bonded interaction responsible for all temperature-dependent geometrical polymorphs of the system, including the most stable one that persists at low-temperatures, and the significance of all other noncovalent interactions has been overlooked. This study focussed only on the low temperature orthorhombic polymorph of CH3NH3PbI3 and CD3ND3PbI3, where D refers deuterium. Together with QTAIM, DORI and RDG based charge density analyses, the results of density functional theory calculations with PBE with and without van der Waals corrections demonstrate that the prevailing view of hydrogen bonding in CH3NH3PbI3 is misleading as it does not alone determine the aāˆ’b+aāˆ’ tilting pattern of the PbI64āˆ’ octahedra. This study suggests that it is not only the IĀ·Ā·Ā·H/D–N, but also the IĀ·Ā·Ā·H/D–C hydrogen/deuterium bonding and other noncovalent interactions (viz. tetrel-, pnictogen- and lump-hole bonding interactions) that are ubiquitous in the orthorhombic CH3NH3PbI3/CD3ND3PbI3 perovskite geometry. Their interplay determines the overall geometry of the polymorph, and are therefore responsible in part for the emergence of the functional optical properties of this material. This study also suggests that these interactions should not be regarded as the sole determinants of octahedral tilting since lattice dynamics is known to play a critical role as well, a common feature in many inorganic perovskites both in the presence and the absence of the encaged cation, as in CsPbI3/WO3 perovskites, for example. Show less
šŸ“„ PDF DOI: 10.1038/s41598-018-36218-1
DFT
MarĆ­a S. Islas, Islas, MarĆ­a S., Alicia Luengo +15 more Ā· 2016 Ā· Springer Berlin Heidelberg Ā· Springer Ā· added 2026-04-20
Abstract The coordination compound of the antihypertensive ligand irbesartan (irb) with copper(II) (CuIrb) was synthesized and characterized by FTIR, FT-Raman, UV–visible, reflectance and EPR spectros Show more
Abstract The coordination compound of the antihypertensive ligand irbesartan (irb) with copper(II) (CuIrb) was synthesized and characterized by FTIR, FT-Raman, UV–visible, reflectance and EPR spectroscopies. Experimental evidence allowed the implementation of structural and vibrational studies by theoretical calculations made in the light of the density functional theory (DFT). This compound was designed to induce structural modifications on the ligand. No antioxidant effects were displayed by both compounds, though CuIrb behaved as a weak 1,1-diphenyl-2-picrylhydrazyl radical (DPPHĀ·) scavenger (IC50 = 425 μM). The measurements of the contractile capacity on human mesangial cell lines showed that CuIrb improved the antihypertensive effects of the parent medication. In vitro cell growth inhibition against prostate cancer cell lines (LNCaP and DU 145) was measured for CuIrb, irbesartan and copper(II). These cell lines have been selected since the angiotensin II type 1 (AT1) receptor (that was blocked by the angiotensin receptor blockers, ARB) has been identified in them. The complex exerted anticancer behavior (at 100 μM) improving the activity of the ligand. Flow cytometry determinations were used to determine late apoptotic mechanisms of cell death. Graphical Abstract Experimental and DFT characterization of an irbesartan copper(II) complex has been performed. The complex exhibits low scavenging activity against DPPHĀ· and significant growth inhibition of LNCaP and DU 145 prostate cancer cell lines. Flow cytometry determinations were used to determine late apoptotic mechanisms of cell death. This compound improved the antihypertensive effect of irbesartan. This effect was observed earlier for the mononuclear Cu–candesartan complex, but not in structurally modified sartans forming dinuclear or octanuclear Cu–sartan compounds. Show less
šŸ“„ PDF DOI: 10.1007/s00775-016-1384-5
Cu DFT anticancer coordination-chemistry synthesis
Manideepa Saha, Mriganka Das, Rajendar Nasani +6 more Ā· 2015 Ā· Dalton Transactions Ā· Royal Society of Chemistry Ā· added 2026-04-20
Two new mononuclear water soluble copper(II) complexes, [Cu{(5-pyrazinyl)tetrazolate}2(1,10-phenanthroline)] 1 and [Cu{(5-pyrazinyl)tetrazolate}(1,10-phenanthroline)2](NO3)0.5(N3)0.52, have be Show more
Two new mononuclear water soluble copper(II) complexes, [Cu{(5-pyrazinyl)tetrazolate}2(1,10-phenanthroline)] 1 and [Cu{(5-pyrazinyl)tetrazolate}(1,10-phenanthroline)2](NO3)0.5(N3)0.52, have been synthesized using the metal mediated [2 + 3] cycloaddition reaction between copper bound azide and pyrazinecarbonitrile. The interactions of these copper tetrazolate complexes 1 and 2 with biomolecules like DNA and bovine serum albumin (BSA) are studied and the catecholase like catalytic activity of compound 2 is also explored. Structural determination reveals that both compounds 1 and 2 are octahedral in nature. Screening tests were conducted to quantify the binding ability of complexes (1 and 2) towards DNA and it was revealed that complex 2 has a stronger affinity to bind to CT-DNA. DFT studies indicated that a lower HOMO–LUMO energy gap between the DNA fragment and metal complexes might be the reason for this type of stronger interaction. DNA cleavage activity was explored by gel-electrophoresis and moderate to strong DNA cleavage properties were observed in the presence and absence of co-reagents. Inhibition of cleavage in the presence of sodium azide indicates the propagation of the activity through the production of singlet molecular oxygen. Furthermore enzyme kinetic studies reflect that complex 2 is also effective in mimicking catecholase like activities. An ESI-MS spectral study indicates the probable involvement of dimeric species [(phen)2Cu-(OH)2-Cu(phen)2]2+ in the catalytic cycle. Show less
šŸ“„ PDF DOI: 10.1039/C5DT01471A
Co Cu DFT DNA-binding coordination-chemistry pyridine synthesis tetrazole
Synøve Ø. Scott, Emma L. Gavey, Samuel J. Lind +2 more · 2011 · Dalton Transactions · Royal Society of Chemistry · added 2026-04-20
Readily synthesised and functionalised di-1,2,3-triazole ā€œclickā€ ligands are shown to self-assemble into coordinatively saturated, quadruply stranded helical [Pd2L4](BF4)4 cages with Pd(II) io Show more
Readily synthesised and functionalised di-1,2,3-triazole ā€œclickā€ ligands are shown to self-assemble into coordinatively saturated, quadruply stranded helical [Pd2L4](BF4)4 cages with Pd(II) ions. The cages have been fully characterised by elemental analysis, HR-ESMS, IR, 1H, 13C and DOSY NMR, DFT calculations, and in one case by X-ray crystallography. By exploiting the CuAAC ā€œclickā€ reaction we were able to rapidly generate a small family of di-1,2,3-triazole ligands with different core spacer units and peripheral substituents and examine how these structural modifications affected the formation of the [Pd2L4](BF4)4 cages. The use of both flexible (1,3-propyl) and rigid (1,3-phenyl) core spacer units led to the formation of discrete [Pd2L4](BF4)4 cage complexes. However, when the spacer unit of the di-1,2,3-triazole ligand was a 1,4-substituted-phenyl group steric interactions led to the formation of an oligomeric/polymeric species. By keeping the 1,3-phenyl core spacer constant the effect of altering the ā€œclickā€ ligands’ peripheral substituents was also examined. It was shown that ligands with alkyl, phenyl, electron-rich and electron-poor benzyl substituents all quantitatively formed [Pd2L4](BF4)4 cage complexes. The results suggest that a wide range of functionalised palladium(II) ā€œclickā€ cages could be rapidly generated. These novel molecules may potentially find uses in catalysis, molecular recognition and drug delivery. Show less
šŸ“„ PDF DOI: 10.1039/C1DT10551E
DFT Ir NMR Pd X-ray catalysis drug-delivery synthesis
Martin Dahlberg, Alberto Marini, Benedetta Mennucci +1 more Ā· 2010 Ā· The journal of physical chemistry. A Ā· ACS Publications Ā· added 2026-04-20
Cardiolipin is a key lipid component in many biological membranes. Proton conduction and proton-lipid interactions on the membrane surface are thought to be central to mitochondrial energy production. Show more
Cardiolipin is a key lipid component in many biological membranes. Proton conduction and proton-lipid interactions on the membrane surface are thought to be central to mitochondrial energy production. However, details on the cardiolipin headgroup structure are lacking and the protonation state of this lipid at physiological pH is not fully established. Here we present ab initio DFT calculations of the cardiolipin (CL) headgroup and its 2'-deoxy derivative (dCL), with the aim of establishing a connection between structure and acid-base equilibrium in CL. Furthermore, we investigate the effects of solvation on the molecular conformations. In our model, both CL and dCL showed a significant gap between the two pK(a) values, with pK(a2) above the physiological range, and intramolecular hydrogen bonds were found to play a central role in the conformations of both molecules. This behavior was also observed experimentally in CL. Structures derived from the DFT calculations were compared with those obtained experimentally, collected for CL in the Protein Data Bank, and conformations from previous as well as new molecular dynamics simulations of cardiolipin bilayers. Transition states for proton transfer in CL were investigated, and we estimate that protons can exchange between phosphate groups with an approximate 4-5 kcal/mol barrier. Computed NMR and IR spectral properties were found to be in reasonable agreement with experimental results available in the literature. Show less
no PDF DOI: 10.1021/jp9110019
DFT Ir NMR amino-acid mitochondria
Maria Fatima A Lucas, Mateij Pavelka, Marta E Alberto +1 more Ā· 2009 Ā· The journal of physical chemistry. B Ā· ACS Publications Ā· added 2026-04-20
The hydrolysis of oxaliplatin, a third generation anticancer drug, is expected to play an important role in the activation of this compound before it reaches DNA. The first and second hydrolysis corre Show more
The hydrolysis of oxaliplatin, a third generation anticancer drug, is expected to play an important role in the activation of this compound before it reaches DNA. The first and second hydrolysis corresponding to the addition of the first water molecule concomitant with the ring-opening, followed by addition of a second water and loss of the monodentate oxalato ligand, respectively, were studied combining density functional theory (DFT) with the conductor-like dielectric continuum model (CPCM) approach. The reaction was studied in neutral and acidic conditions, and all stationary points have been identified. The computed potential energy surfaces show that, for the neutral hydrolysis, the ring-opening reaction is the rate-limiting process, with an activation barrier of about 28 kcal/mol. For the acid degradation in water, according to experimental data, the reaction is expected to proceed in a faster biphasic process, and the rate-limiting process is the ligand detachment that occurs with a barriers of about 22 kcal/mol. According to the calculated results, we expect that the reaction is favored in acidic conditions and that the monoaquated complex should be the species reacting with DNA. Show less
no PDF DOI: 10.1021/jp8086539
DFT anticancer carboxylate
Ondrej BradÔc, TomÔs Zimmermann, Jaroslav V Burda · 2008 · Journal of molecular modeling · Springer · added 2026-04-20
Three potential anticancer agents {trans-[PtCl(2)(NH(3))(thiazole)], cis-[PtCl(2)(NH(3))(piperidine)], and PtCl(2)(NH(3))(cyclohexylamine) (JM118)} were explored and compared with cisplatin and the in Show more
Three potential anticancer agents {trans-[PtCl(2)(NH(3))(thiazole)], cis-[PtCl(2)(NH(3))(piperidine)], and PtCl(2)(NH(3))(cyclohexylamine) (JM118)} were explored and compared with cisplatin and the inactive [PtCl(dien)](+) complex. Basic electronic properties, bonding and stabilization energies were determined, and thermodynamic and kinetic parameters for the aquation reaction were estimated at the B3LYP/6-311++G(2df,2pd) level of theory. Since the aquation process represents activation of these agents, the obtained rate constants were compared with the experimental IC(50) values for several tumor cells. Despite the fact that the processes in which these drugs are involved and the way in which they affect cells are very complex, some correlations can be deduced. Show less
no PDF DOI: 10.1007/s00894-008-0285-0
DFT Pt anticancer
Barbara Kirchner, Frank Wennmohs, Shengfa Ye +1 more Ā· 2007 Ā· Current opinion in chemical biology Ā· Elsevier Ā· added 2026-04-20
Theoretical bioinorganic and biomimetic chemistry involves the careful description of the electronic structure: for example, 'valence bond reading' of broken-symmetry density functional theory computa Show more
Theoretical bioinorganic and biomimetic chemistry involves the careful description of the electronic structure: for example, 'valence bond reading' of broken-symmetry density functional theory computations gives insight into the structure and bonding of metal-radical systems with complex electronic structures. Exploring the reactivities of such systems leads to the design of novel compounds with better reactivities. Combined quantum-mechanics/molecular-mechanics (QM/MM), where the QM part is a sophisticated ab initio method, aids in understanding nature's most complicated reaction mechanisms in atomic detail. First principles molecular dynamics simulations (Car-Parrinello simulations) open up exciting new avenues for studying transition metal centers and enable several questions to be addressed that cannot be resolved with either standard quantum chemical or traditional force-field methods. Show less
no PDF DOI: 10.1016/j.cbpa.2007.02.026
DFT
Arturo Robertazzi, James A. Platts Ā· 2006 Ā· Chemistry – A European Journal Ā· Wiley Ā· added 2026-04-20
AbstractQM/MM calculations were employed to investigate the role of hydrogen bonding and Ļ€ stacking in several single‐ and double‐stranded cisplatin–DNA structures. Computed geometrical parameters rep Show more
AbstractQM/MM calculations were employed to investigate the role of hydrogen bonding and Ļ€ stacking in several single‐ and double‐stranded cisplatin–DNA structures. Computed geometrical parameters reproduce experimental structures of cisplatin and its complex with guanine–phosphate–guanine. Following QM/MM optimisation, single‐point DFT calculations allowed estimation of intermolecular forces through atoms in molecules (AIM) analysis. Binding energies of platinated single‐strand DNA qualitatively agree with myriad experimental and theoretical studies showing that complexes of guanine are stronger than those of adenine. The topology of all studied complexes confirms that platination strongly affects the stability of both single‐ and double‐stranded DNAs: PtNHā‹…ā‹…ā‹…X (X = N or O) interactions are ubiquitous in these complexes and account for over 70 % of all H‐bonding interactions. The Ļ€ stacking is greatly reduced by both mono‐ and bifunctional complexation: the former causes a loss of about 3–4 kcal molāˆ’1, whereas the latter leads to more drastic disruption. The effect of platination on Watson–Crick GC is similar to that found in previous studies: major redistribution of energy occurs, but the overall stability is barely affected. The BH&H/AMBER/AIM approach was also used to study platination of a double‐stranded DNA octamer d(CCTG*G*TCC)ā‹…d(GGACCAGG), for which an experimental structure is available. Comparison between theory and experiment is satisfactory, and also reproduces previous DFT‐based studies of analogous structures. The effect of platination is similar to that seen in model systems, although the effect on GC pairing was more pronounced. These calculations also reveal weaker, secondary interactions of the form Ptā‹…ā‹…ā‹…O and Ptā‹…ā‹…ā‹…N, detected in several single‐ and double‐stranded DNA. Show less
no PDF DOI: 10.1002/chem.200501566
DFT Pt