Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Discovery of Novel Direct Small-Molecule Inhibitors Targeting Hif-2Α Using Structure-Based Virtual Screening, Molecular Dynamics Simulation, and Mm-Gbsa Calculations Publisher Pubmed



Yazdani B1 ; Sirous H2 ; Enguita FJ3 ; Brogi S2, 4 ; Wing PAC5 ; Fassihi A2, 6
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Tissue Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
  2. 2. Bioinformatics Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, 81746-73461, Iran
  3. 3. Faculdade de Medicina, Instituto de Medicina Molecular Joao Lobo Antunes, Universidade de Lisboa, Lisbon, Portugal
  4. 4. Department of Pharmacy, University of Pisa, Via Bonanno 6, Pisa, 56126, Italy
  5. 5. Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
  6. 6. Department of Medicinal Chemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, 81746-73461, Iran

Source: Molecular Diversity Published:2024


Abstract

Hypoxia-inducible factors (HIFs) are the main regulatory factors implicated in the adaptation of cancer cells to hypoxic stress, which has provoked much interest as an attractive target for the design of promising chemotherapeutic agents. Since indirect HIF inhibitors (HIFIs) lead to the occurrence of various side effects, the need of the hour is to develop direct HIFIs, physically interacting with important functional domains within the HIF protein structure. Accordingly, in the present study, it was attempted to develop an exhaustive structure-based virtual screening (VS) process coupled with molecular docking, molecular dynamic (MD) simulation, and MM-GBSA calculations for the identification of novel direct inhibitors against the HIF-2α subunit. For this purpose, a focused library of over 200,000 compounds from the NCI database was used for VS against the PAS-B domain of the target protein, HIF-2α. This domain was suggested to be a possible ligand-binding site, which is characterized by a large internal hydrophobic cavity, unique to the HIF-2α subunit. The top-ranked compounds, NSC106416, NSC217021, NSC217026, NSC215639, and NSC277811 with the best docking scores were taken up for the subsequent in silico ADME properties and PAINS filtration. The selected drug-like hits were employed for carrying out MD simulation which was followed by MM-GBSA calculations to retrieve the candidates showing the highest in silico binding affinity towards the PAS-B domain of HIF-2α. The analysis of results indicated that all molecules, except the NSC277811, fulfilled necessary drug-likeness properties. Four selected drug-like candidates, NSC106416, NSC217021, NSC217026, and NSC215639 were found to expose the stability profiles within the cavity located inside the PAS-B domain of HIF-2α over simulation time. Finally, the results of the MM-GBSA rescoring method were indicative of the highest binding affinity of NSC217026 for the binding site of the HIF-2α PAS-B domain among selected final hits. Consequently, the hit NSC217026 could serve as a promising scaffold for further optimization toward the design of direct HIF-2α inhibitors for cancer therapy. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.
Other Related Docs
14. Prediction of Dual Nf-Κb/Iκb Inhibitors Using an Integrative In-Silico Approaches, Journal of Biomolecular Structure and Dynamics (2023)
22. Dihydropyrimidine Derivatives As Mdm2 Inhibitors, Chemical Biology and Drug Design (2024)
29. Monastrol Derivatives: In Silico and in Vitro Cytotoxicity Assessments, Research in Pharmaceutical Sciences (2020)
33. In Silico Activity of As1411 Aptamer Against Nucleolin of Cancer Cells, Iranian Journal of Blood and Cancer (2020)