In Silico Screening of 1,3,4-Thiadiazole Derivatives as Inhibitors of Vascular Endothelial Growth Factor Receptor-2 (VEGFR-2).
Computer-Aided Drug Design (CADD)
molecular docking
molecular dynamics simulation
receptor tyrosine kinases (RTKs)
virtual screening
Journal
Current issues in molecular biology
ISSN: 1467-3045
Titre abrégé: Curr Issues Mol Biol
Pays: Switzerland
ID NLM: 100931761
Informations de publication
Date de publication:
06 Oct 2024
06 Oct 2024
Historique:
received:
20
08
2024
revised:
30
08
2024
accepted:
02
10
2024
medline:
25
10
2024
pubmed:
25
10
2024
entrez:
25
10
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 39451546
pii: cimb46100666
doi: 10.3390/cimb46100666
doi:
Types de publication
Journal Article
Langues
eng
Pagination
11220-11235Subventions
Organisme : NCI NIH HHS
ID : 2U54CA233396-06
Pays : United States