Abstract

Objective: Mycobacterium tuberculosis (MTB) is a pathogenic bacterium of the Mycobacteriaceae family that causes TB. EthR is a transcriptional regulator which is involved in the repression of the monooxygenase EthA which is responsible for the formation of the active metabolite of Eth. Inhibitors of the EthR DNA binding protein induce a conformational change in this repressor, thus preventing its binding to DNA operator, consequently resulting in increased transcription of EthA and bioactivation of Eth. Methods: In this study, we used first-line and second-line drugs and their analogues to validate the binding affinity of EthR DNA binding protein of MTB. Molegro Virtual Docker (MVD) is utilized for virtual screening and validation of MolDoc, Rerank, and hydrogen bond parameters of ETH, isoniazid (INH), clofazimine (CLF), and its modified derivatives to the EthR DNA binding protein of MTB. The modified molecules; ETH4, INZ2, CLF3, and CLF4 show more binding affinities than that of native compounds ETH, INH, and CLF to the EthR DNA binding protein of MTB. The top scoring compound was docked by auto dock vina in PyRx to get the best conformer pose for intermolecular interactions. Results: CLF4 had the best lowest MolDock score -176.29kcal/mol and H-bonding energy -6.89kcal/mol in the MVD virtual screening. The best conformer pose generated by PyRx was shown -7.1 binding affinity and ligand generated hydrogen bond interactions with THR130 and LYS68, respectively, which stabilized the ligand in the active site of EthR protein. Conclusion: We concluded that CLF4 has shown better inhibitory efficacy than other compounds towards EthR protein. However, these results need to be further substantiated through in vitro and in vivo experimental studies.

Highlights

  • Tuberculosis (TB) is one of the top ten causes of global mortality, with an estimated 1.5 million deaths due to TB in 2018, globally [1]

  • Virtual screening experiments were performed by Molegro Virtual Docker (MVD2019.7.0.0) [18] and analyzed its data by Molegro Data

  • Using the utilities provided in MVD all necessary valency checks, H atom addition, and protein preparation were done and repaired and rebuilt

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Summary

Introduction

Tuberculosis (TB) is one of the top ten causes of global mortality, with an estimated 1.5 million deaths due to TB in 2018, globally [1]. Mycobacterium TB (MTB) infection in humans does not usually lead to active disease. The vast majority of infections are clinically latent, with just 10% developing active TB. Latent TB is defined as the absence of clinical illness in a TB-positive individual. A latently infected person is likely to harbor the organism for life and is at risk of reactivation TB. Animal models have been used to study the immune responses that lead to the management of acute infections and the likely formation of latency [2]

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