Literature DB >> 33962088

Structure-based design approach of potential BCL-2 inhibitors for cancer chemotherapy.

Swati Krishna1, S Birendra Kumar1, T P Krishna Murthy2, Manikanta Murahari3.   

Abstract

B-cell lymphoma 2 (BCL-2) family is one of the chief regulators of cellular apoptosis. The intricate interactions between pro-apoptotic and anti-apoptotic genes of the BCL-2 family dictate the apoptotic balance of the cell. An overexpression of the anti-apoptotic members of BCL-2 is indicative of cell death evasion and cancer metastasis. Among the four BCL-2 homology domains, the BH3 domain plays a key role in the suppression of BCL-2 expression. Therefore, BH3-mimetic drugs are currently investigated for their suitability as BCL-2 inhibitors. In the present study, we followed a structure-based pharmacophore modelling approach to identify BH3-mimetic small molecules, to formulate a more precise and targeted cancer treatment regimen. To identify proteins with similar binding features, a structure-based pharmacophore model was generated based on the structure of Bcl-2 complexed with Venetoclax (PDB-ID:6O0K). Compounds with good fitness score and pharmacophore features, screened from the ZINC database, were subjected to (i) molecular docking studies, (ii) molecular mechanics-generalized Born surface area (MM-GBSA), and (iii) absorption, distribution, metabolism, excretion and toxicity (ADMET) prediction. From the analysis, two molecules were identified: ZINC68728276 and ZINC14166367, with docking scores of -7.323 and -8.649 kcal/mol and free binding energies (MM-GBSA) of -72.913 and -72.291 kcal/mol, respectively. The structural parameters and binding affinity of these complexes were validated through molecular dynamics simulation and molecular mechanics-Poisson-Boltzmann surface area (MM-PBSA) free energy calculations and compared with Venetoclax. The results indicated stability and good binding affinity of both the compounds. The study identified ZINC68728276 and ZINC14166367 as in silico potential Bcl-2 inhibitors, which can be further considered for in vitro studies.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bcl-2; Cancer; Molecular docking; Pharmacophore; Structure-based

Year:  2021        PMID: 33962088     DOI: 10.1016/j.compbiomed.2021.104455

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Computational design of MmpL3 inhibitors for tuberculosis therapy.

Authors:  R Chaitra; Rohit Gandhi; N Jayanna; Sachin Satyanath; Parasuraman Pavadai; Manikanta Murahari
Journal:  Mol Divers       Date:  2022-04-28       Impact factor: 2.943

2.  Computational screening of natural compounds from Salvia plebeia R. Br. for inhibition of SARS-CoV-2 main protease.

Authors:  Afraa Aqeel Zackria; Ramya Pattabiraman; T P Krishna Murthy; S Birendra Kumar; Blessy Baby Mathew; Vinai George Biju
Journal:  Vegetos       Date:  2021-10-19

3.  The Antiproliferative and Apoptotic Effects of a Novel Quinazoline Carrying Substituted-Sulfonamides: In Vitro and Molecular Docking Study.

Authors:  Ali S Alqahtani; Mostafa M Ghorab; Fahd A Nasr; Mohammad Z Ahmed; Abdullah A Al-Mishari; Sabry M Attia
Journal:  Molecules       Date:  2022-02-01       Impact factor: 4.411

  3 in total

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