Identification of Antimycobacterial Agent Using In Silico Virtual Screening, ADME Prediction, Docking, and Molecular Dynamics Simulations Approach

Title:Identification of Antimycobacterial Agent Using In Silico Virtual Screening, ADME Prediction, Docking, and Molecular Dynamics Simulations Approach

Volume: 17 Issue: 6

Author(s): Swayansiddha Tripathy*, Susanta Kumar Sahu, Mohammed Afzal Azam, Srikanth Jupudi, Vivek Kumar Gupta and Shweta Sharma

Affiliation:

• University Department of Pharmaceutical Sciences, Utkal University,Vani Vihar, Bhubaneswar-751004, Odisha,India

Keywords: Z-ring, Guanosine 5′-triphosphate (GTP), virtual screening, molecular docking, MM-GBSA, molecular dynamics simulation, ADME analysis, resazurin.

Abstract:

Background: The widespread hazardous issue of antibiotics resistance can be overcome by the development of target based potent antibacterial agents. Filamentous temperature-sensitive mutant Z (FtsZ), a simpler structural prokaryotic homolog of eukaryotic cytoskeletal tubulin, was considered as a competent target in antibacterial drug discovery.

Objective: The purpose of the present work is to evaluate the antitubercular activity of virtual hits by funnel-shaped filtering with glide docking, followed by MM-GBSA binding energy and molecular dynamics simulation. Pharmacokinetics and biochemical activity of the computationally screened virtual hits have been studied to focus their potential to inhibit the bacterial cell division.

Methods: The docking study was performed against the crystal structure of Staphylococcus aureus and Mycobacterium tuberculosis FtsZ protein with the hits obtained from High Throughput Virtual Screening using the Glide module in Schrodinger. ADME profile and 50 ns molecular dynamics simulation studies were performed using the Schrödinger suite. The minimal inhibitory concentration of the test compounds was determined by the colorimetric method by the Resazurin Microtiter plate Assay.

Results: The binding of hit molecules T5427054 and 6M356S was mainly supported by van der Waals interaction and an electrostatic component of solvation energy computed by the MM-GBSA method. 50 ns MD simulation built stability and dynamic property of the best-docked complex T5427054/2Q1Y. Both the hit molecules displayed antimycobacterial activity with minimal inhibitory concentration 500 μg/mL.

Conclusion: In this study, it is found that new screened hit molecules with better theoretical results could be preferred to use as antimycobacterial agents, and further their structural modification might be improved antimycobacterial properties of hit molecules.

Cite this article as:

Tripathy Swayansiddha *, Sahu Kumar Susanta , Azam Afzal Mohammed , Jupudi Srikanth , Gupta Kumar Vivek and Sharma Shweta , Identification of Antimycobacterial Agent Using In Silico Virtual Screening, ADME Prediction, Docking, and Molecular Dynamics Simulations Approach, Current Computer-Aided Drug Design 2021; 17 (6) . https://dx.doi.org/10.2174/1573409916999200730182308

DOI https://dx.doi.org/10.2174/1573409916999200730182308	Print ISSN 1573-4099
Publisher Name Bentham Science Publisher	Online ISSN 1875-6697