ZK164015

Drug screening technologies are experimental and computational strategies used to identify small molecules or chemical probes that modulate a defined molecular target, signaling pathway, cellular phenotype, disease model, or patient-derived response profile. High-throughput screening tests many compounds in miniaturized assay formats, while quantitative high-throughput screening tests compounds across concentration ranges so that potency and efficacy can be inferred from concentration-response behavior rather than from a single-point signal. The core biological function of a drug-screening strategy is to connect compound exposure with measurable pathway activity, target modulation, cell-state change, viability, cytotoxicity, morphology, or disease-relevant phenotype. Assay performance must be evaluated before screening because hit identification depends on the separation between positive and negative controls, control variability, plate effects, outliers, and the statistical framework

Compound databases support drug-discovery research by organizing chemical structures, identifiers, bioactivity values, targets, annotations, purchasability, and literature-derived evidence into searchable resources for virtual screening, target prediction, repurposing, and hit prioritization. General chemical databases such as PubChem, ChEMBL, DrugBank, BindingDB, and ZINC differ in scope: PubChem emphasizes broad chemical and assay data, ChEMBL and BindingDB emphasize bioactivity and target relationships, DrugBank emphasizes approved and investigational drugs, and ZINC emphasizes purchasable docking-ready compounds. Natural-product and traditional-medicine databases add species source, phytochemical, and ethnopharmacology information, but reviews show that database accessibility, redundancy, inconsistent structure annotation, and uneven curation remain major limitations. Unresolved questions include how to harmonize identifiers across databases, how to remove duplicate or erroneous st

ROS/oxidative-stress fluorescent staining uses cell-permeant fluorogenic probes that become fluorescent after oxidation inside cells or tissues; commonly used examples include DCFH-DA/DCFDA for broad cellular oxidant detection, DHE for superoxide-related signal detection, MitoSOX for mitochondrial superoxide-related signal detection, and CellROX probes for oxidative-stress-associated fluorescence readouts. The assay detects probe oxidation rather than a single ROS species unless the probe and analysis method have been chemically validated for that species. DCFH-DA enters cells, is deacetylated by intracellular esterases to DCFH, and produces fluorescent DCF after oxidation, so the readout is used as an operational measure of total cellular oxidative stress rather than a species-specific ROS measurement. DHE and MitoSOX can report superoxide-related oxidation, but red fluorescence alone can include non-specific ethidium-like oxidation products; HPLC or optimized spectral approaches are

Endocrine diseases often arise from disrupted hormone production, hormone signaling, or target-tissue responsiveness; for diabetes-focused endocrine disease models, insulin signaling regulates glucose uptake, hepatic glucose output, lipid metabolism, and β-cell compensation. Type 2 diabetes develops through interacting defects in insulin resistance, β-cell dysfunction, adipose inflammation, hepatic glucose overproduction, altered incretin signaling, and ectopic lipid metabolism. A major unresolved question is whether endocrine dysfunction is driven primarily by target-tissue insulin resistance, intrinsic β-cell failure, immune/inflammatory stress, or combined multi-organ failure that differs by disease stage.

Breast cancer is a heterogeneous cancer, and it has been distinguished into four subtypes: luminal A, luminal B, HER2-positive and basal-like. Molecular mutations, epigenetic alterations, hormone exposure and immune microenvironment are related to the progression of breast cancer.