Literature DB >> 33065513

Virtual screening and free energy estimation for identifying Mycobacterium tuberculosis flavoenzyme DprE1 inhibitors.

Rakesh Srivastava1, Amresh Prakash2, Andrew M Lynn3.   

Abstract

In Mycobacterium tuberculosis (MTB), the cell wall synthesis flavoenzyme decaprenylphosphoryl-β-d-ribose 2'-epimerase (DprE1) plays a crucial role in host pathogenesis, virulence, lethality and survival under stress. The emergence of different variants of drug resistant MTB are a major threat worldwide which essentially requires more effective new drug molecules with no major side effects. Here, we used structure based virtual screening of bioactive molecules from the ChEMBL database targeting DprE1, having bioactive 78,713 molecules known for anti-tuberculosis activity. An extensive molecular docking, binding affinity and pharmacokinetics profile filtering results in the selection four compounds, C5 (ChEMBL2441313), C6 (ChEMBL2338605), C8 (ChEMBL441373) and C10 (ChEMBL1607606) which may explore as potential drug candidates. The obtained results were validated with thirteen known DprE1 inhibitors. We further estimated the free-binding energy, solvation and entropy terms underlying the binding properties of DprE1-ligand interactions with the implication of MD simulation, MM/GBSA, MM/PBSA and MM/3D-RISM. Interestingly, we find that C6 shows the highest ΔG scores (-41.28 ± 3.51, -22.36 ± 3.17, -10.33 ± 5.70 kcal mol-1) in MM/GBSA, MM/PBSA and MM/3D-RISM assay, respectively. Whereas, the lowest ΔG scores (-35.31 ± 3.44, -13.67 ± 2.65, -3.40 ± 4.06 kcal mol-1) observed for CT319, the inhibitor co-crystallized with DprE1. Collectively, the results demonstrated that hit-molecules: C5, C6, C8 and C10 having better binding free energy and molecular affinity as compared to CT319. Thus, we proposed that selected compounds may be explored as lead molecules in MTB therapy.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioavailability; DprE1; MM/3D-RISM; MM/PBSA/GBSA; Mycobacterium tuberculosis; Virtual screening

Mesh:

Substances:

Year:  2020        PMID: 33065513     DOI: 10.1016/j.jmgm.2020.107770

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  4 in total

1.  Identifying the Novel Inhibitors Against the Mycolic Acid Biosynthesis Pathway Target "mtFabH" of Mycobacterium tuberculosis.

Authors:  Niranjan Kumar; Rakesh Srivastava; Raj Kumar Mongre; Chandra Bhushan Mishra; Amit Kumar; Rosy Khatoon; Atanu Banerjee; Md Ashraf-Uz-Zaman; Harpreet Singh; Andrew M Lynn; Myeong-Sok Lee; Amresh Prakash
Journal:  Front Microbiol       Date:  2022-05-06       Impact factor: 6.064

2.  Discovering Potential RNA Dependent RNA Polymerase Inhibitors as Prospective Drugs Against COVID-19: An in silico Approach.

Authors:  Satabdi Saha; Rajat Nandi; Poonam Vishwakarma; Amresh Prakash; Diwakar Kumar
Journal:  Front Pharmacol       Date:  2021-02-26       Impact factor: 5.810

3.  Arylcoumarin perturbs SARS-CoV-2 pathogenesis by targeting the S-protein/ACE2 interaction.

Authors:  Ruhar Singh; Abhijeet Kumar; Jitendra Subhash Rane; Rajni Khan; Garima Tripathi; Amrendra K Ajay; Amresh Prakash; Shashikant Ray
Journal:  Sci Rep       Date:  2022-10-11       Impact factor: 4.996

Review 4.  Drug Discovery for Mycobacterium tuberculosis Using Structure-Based Computer-Aided Drug Design Approach.

Authors:  Murtala A Ejalonibu; Segun A Ogundare; Ahmed A Elrashedy; Morufat A Ejalonibu; Monsurat M Lawal; Ndumiso N Mhlongo; Hezekiel M Kumalo
Journal:  Int J Mol Sci       Date:  2021-12-09       Impact factor: 5.923

  4 in total

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