Literature DB >> 25384979

Discovery of Mycobacterium tuberculosis α-1,4-glucan branching enzyme (GlgB) inhibitors by structure- and ligand-based virtual screening.

Hedwin Kitdorlang Dkhar1, Anupriya Gopalsamy2, Saurabh Loharch1, Amandeep Kaur1, Isha Bhutani1, Kanmani Saminathan2, Ella Bhagyaraj1, Vemika Chandra1, Kunchithapadam Swaminathan2, Pushpa Agrawal1, Raman Parkesh3, Pawan Gupta4.   

Abstract

GlgB (α-1,4-glucan branching enzyme) is the key enzyme involved in the biosynthesis of α-glucan, which plays a significant role in the virulence and pathogenesis of Mycobacterium tuberculosis. Because α-glucans are implicated in the survival of both replicating and non-replicating bacteria, there exists an exigent need for the identification and development of novel inhibitors for targeting enzymes, such as GlgB, involved in this pathway. We have used the existing structural information of M. tuberculosis GlgB for high throughput virtual screening and molecular docking. A diverse database of 330,000 molecules was used for identifying novel and efficacious therapeutic agents for targeting GlgB. We also used three-dimensional shape as well as two-dimensional similarity matrix methods to identify diverse molecular scaffolds that inhibit M. tuberculosis GlgB activity. Virtual hits were generated after structure and ligand-based screening followed by filters based on interaction with human GlgB and in silico pharmacokinetic parameters. These hits were experimentally evaluated and resulted in the discovery of a number of structurally diverse chemical scaffolds that target M. tuberculosis GlgB. Although a number of inhibitors demonstrated in vitro enzyme inhibition, two compounds in particular showed excellent inhibition of in vivo M. tuberculosis survival and its ability to get phagocytosed. This work shows that in silico docking and three-dimensional chemical similarity could be an important therapeutic approach for developing inhibitors to specifically target the M. tuberculosis GlgB enzyme.
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Keywords:  Docking; Molecular Docking; Mycobacterium tuberculosis; Pathogenesis; Small Molecule

Mesh:

Substances:

Year:  2014        PMID: 25384979      PMCID: PMC4281769          DOI: 10.1074/jbc.M114.589200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  42 in total

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