Identification of potential non-nucleoside MraY inhibitors for tuberculosis chemotherapy using structure-based virtual screening. Issue 11 (28th June 2022)

• Record Type: Journal Article
• Authors: Pandey, Pankaj; Chatterjee, Shamba; Berida, Tomayo; Doerksen, Robert J.; Roy, Sudeshna
• Is Part Of: Journal of biomolecular structure & dynamics. Volume 40:Issue 11(2022)
• Page Start: 4832
• Page End: 4849
• Publication Date: 2022-06-28
• Subjects: MraY -- tuberculosis -- homology modeling -- docking -- virtual screening -- molecular dynamics; Biomolecules -- Periodicals; Molecular structure -- Periodicals; Molecular Biology -- Periodicals; Biomechanics -- Periodicals; 572
• DOI: 10.1080/07391102.2020.1862705
• Languages: English
• ISSNs: 0739-1102

Abstract

Abstract: The efforts to limit the spread of the tuberculosis epidemic have been challenged by the rise of drug-resistant strains of Mycobacterium tuberculosis ( Mtb ), the causative agent of tuberculosis. It is critical to discover new chemical scaffolds acting on novel or unexploited targets to beat this drug-resistant pathogen. MraY (phospho-MurNAc-pentapeptide translocase or translocase I) is an in vivo validated target for antibacterials-discovery. MraY is inhibited by nucleoside-based natural products that suffer from poor in vivo efficacy. The current study is focused on discovering novel chemical entities, particularly, non-nucleoside small molecules, as MraY Mtb inhibitors possessing antituberculosis activity. In the absence of any reported X-ray crystal structures of MraY Mtb, we used a homology model-based virtual screening approach combined with the ligand-based e-pharmacophore screening. We screened ∼12 million commercially available compounds from the ZINC15 database using GOLD software. The resulting hits were filtered using a 2-pronged screening method comprising e-pharmacophore hypotheses and docking against the MraY Mtb homology model using Glide. Further clustering based on Glide scores and optimal binding interactions resulted in 15 in silico hits. We performed molecular dynamics (MD) simulations for the three best-ranking compounds and one other poorer-ranking compound, out of the 15 in silico hits, to analyze the interaction modes in detail. The MD simulations indicated stable interactions between the compounds and key residues in the MraY active site that are crucial for maintaining the enzymatic activity. These in silico hits could advance the antibacterial drug discovery campaign to find new MraY inhibitors for tuberculosis treatment. Communicated by Ramaswamy H. Sarma