Angiogenesis plays a pivotal role in the growth, survival, and metastasis of solid tumors, with Vascular Endothelial Growth Factor Receptor-2 (VEGFR-2) being overexpressed in many human solid tumors, making it an appealing target for anti-cancer therapies. This study aimed to identify potential lead compounds with azole moiety exhibiting VEGFR-2 inhibitory effects. A ligand-based pharmacophore model was constructed using the X-ray crystallographic structure of VEGFR-2 complexed with tivozanib (PDB ID: 4ASE) to screen the ZINC15 database. Following virtual screening, six compounds demonstrated promising docking scores and drug-likeness comparable to tivozanib. These hits underwent detailed pharmacokinetic analysis to assess their absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Furthermore, Density Functional Theory (DFT) analysis was employed to investigate the molecular orbital properties of the top hits from molecular docking. Molecular dynamics (MD) simulations were conducted to evaluate the conformational stability of the complexes over a 100 ns run. Results indicated that the compounds (ZINC8914312, ZINC8739578, ZINC8927502, and ZINC17138581) exhibited the most promising lead requirements for inhibiting VEGFR-2 and suppressing angiogenesis in cancer therapy. This integrated approach, combining pharmacophore modeling, molecular docking, ADMET studies, DFT analysis, and MD simulations, provides valuable insights into the identification of potential anti-cancer agents targeting VEGFR-2.

Cannabis use is expanding rapidly across the United States, yet product quality and consumer safety knowledge remain significant public health concerns. This cross-sectional study surveyed 325 adults in Florida dispensary customers (n = 185) and general public participants (n = 140) to compare cannabis use patterns, purchasing behaviors, and safety awareness. Cannabinoid gummy products were characterized using texture analysis; oil and topical formulations were evaluated for label accuracy by high-performance liquid chromatography (HPLC) against USP specifications (90–110% of label claim). Inter-laboratory variability accelerated stability testing, and a machine learning microsimulation projecting knowledge trend (2026–2031) were also conducted. Texture analysis revealed substantial variability in mechanical properties across gummy brands. Oil and topical formulations demonstrated generally acceptable labeling accuracy, though significant inter-laboratory variability in CBD quantification was observed. Dispensary respondents reported more frequent cannabis use, stronger brand loyalty, greater perceived quality-of-life benefits, and higher product knowledge than the general public; however, critical safety knowledge gaps regarding THC–cardiovascular drug interactions and pregnancy risks persisted across both groups. These findings highlight the need for stronger product quality standards, standardized analytical testing, and targeted public health education to promote safe and informed cannabis use.