Literature DB >> 32801062

De novo design based identification of potential HIV-1 integrase inhibitors: A pharmacoinformatics study.

Pooja Balasaheb Shinde1, Shovonlal Bhowmick2, Etidal Alfantoukh3, Pritee Chunarkar Patil1, Saikh Mohammad Wabaidur4, Rupesh V Chikhale5, Md Ataul Islam6.   

Abstract

In the present study, pharmacoinformatics paradigms include receptor-based de novo design, virtual screening through molecular docking and molecular dynamics (MD) simulation are implemented to identify novel and promising HIV-1 integrase inhibitors. The de novodrug/ligand/molecule design is a powerful and effective approach to design a large number of novel and structurally diverse compounds with the required pharmacological profiles. A crystal structure of HIV-1 integrase bound with standard inhibitor BI-224436 is used and a set of 80,000 compounds through the de novo approach in LigBuilder is designed. Initially, a number of criteria including molecular docking, in-silico toxicity and pharmacokinetics profile assessments are implied to reduce the chemical space. Finally, four de novo designed molecules are proposed as potential HIV-1 integrase inhibitors based on comparative analyses. Notably, strong binding interactions have been identified between a few newly identified catalytic amino acid residues and proposed HIV-1 integrase inhibitors. For evaluation of the dynamic stability of the protein-ligand complexes, a number of parameters are explored from the 100 ns MD simulation study. The MD simulation study suggested that proposed molecules efficiently retained their molecular interaction and structural integrity inside the HIV-1 integrase. The binding free energy is calculated through the Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) approach for all complexes and it also explains their thermodynamic stability. Hence, proposed molecules through de novo design might be critical to inhibiting the HIV-1 integrase. Crown
Copyright © 2020. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  De novo design; HIV-1 integrase; MM-PBSA; Molecular docking; Molecular dynamics; Virtual screening

Mesh:

Substances:

Year:  2020        PMID: 32801062     DOI: 10.1016/j.compbiolchem.2020.107319

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  5 in total

1.  Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach.

Authors:  Shovonlal Bhowmick; Achintya Saha; Nora Abdullah AlFaris; Jozaa Zaidan ALTamimi; Zeid A ALOthman; Tahany Saleh Aldayel; Saikh Mohammad Wabaidur; Md Ataul Islam
Journal:  Mol Divers       Date:  2021-09-05       Impact factor: 3.364

2.  Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors.

Authors:  Anshul Shakya; Rupesh V Chikhale; Hans Raj Bhat; Fatmah Ali Alasmary; Tahani Mazyad Almutairi; Surajit Kumar Ghosh; Hassna Mohammed Alhajri; Siham A Alissa; Shuchi Nagar; Md Ataul Islam
Journal:  Mol Divers       Date:  2021-03-30       Impact factor: 2.943

3.  Identification of bio-active food compounds as potential SARS-CoV-2 PLpro inhibitors-modulators via negative image-based screening and computational simulations.

Authors:  Shovonlal Bhowmick; Nora Abdullah AlFaris; Jozaa Zaidan ALTamimi; Zeid A ALOthman; Pritee Chunarkar Patil; Tahany Saleh Aldayel; Saikh Mohammad Wabaidur; Achintya Saha
Journal:  Comput Biol Med       Date:  2022-04-01       Impact factor: 6.698

4.  A Pharmacoinformatics Analysis of Artemisinin Targets and de novo Design of Hits for Treating Ulcerative Colitis.

Authors:  Rui Tian; Yufei Li; Xiaofeng Wang; Jiajun Li; Yingqian Li; Shaosheng Bei; Huashan Li
Journal:  Front Pharmacol       Date:  2022-03-18       Impact factor: 5.810

5.  Towards the De Novo Design of HIV-1 Protease Inhibitors Based on Natural Products.

Authors:  Ana L Chávez-Hernández; K Eurídice Juárez-Mercado; Fernanda I Saldívar-González; José L Medina-Franco
Journal:  Biomolecules       Date:  2021-12-01
  5 in total

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