Literature DB >> 26612108

A comparative modeling and molecular docking study on Mycobacterium tuberculosis targets involved in peptidoglycan biosynthesis.

Zeynab Fakhar1, Suhashni Naiker1, Claudio N Alves2, Thavendran Govender1, Glenn E M Maguire1,3, Jeronimo Lameira2, Gyanu Lamichhane4, Hendrik G Kruger1, Bahareh Honarparvar1.   

Abstract

An alarming rise of multidrug-resistant Mycobacterium tuberculosis strains and the continuous high global morbidity of tuberculosis have reinvigorated the need to identify novel targets to combat the disease. The enzymes that catalyze the biosynthesis of peptidoglycan in M. tuberculosis are essential and noteworthy therapeutic targets. In this study, the biochemical function and homology modeling of MurI, MurG, MraY, DapE, DapA, Alr, and Ddl enzymes of the CDC1551 M. tuberculosis strain involved in the biosynthesis of peptidoglycan cell wall are reported. Generation of the 3D structures was achieved with Modeller 9.13. To assess the structural quality of the obtained homology modeled targets, the models were validated using PROCHECK, PDBsum, QMEAN, and ERRAT scores. Molecular dynamics simulations were performed to calculate root mean square deviation (RMSD) and radius of gyration (Rg) of MurI and MurG target proteins and their corresponding templates. For further model validation, RMSD and Rg for selected targets/templates were investigated to compare the close proximity of their dynamic behavior in terms of protein stability and average distances. To identify the potential binding mode required for molecular docking, binding site information of all modeled targets was obtained using two prediction algorithms. A docking study was performed for MurI to determine the potential mode of interaction between the inhibitor and the active site residues. This study presents the first accounts of the 3D structural information for the selected M. tuberculosis targets involved in peptidoglycan biosynthesis.

Entities:  

Keywords:  Mycobacterium tuberculosis; homology modeling; molecular docking; molecular dynamics simulation; peptidoglycan; radius of gyration (Rg); root mean square deviation (RMSD)

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Year:  2016        PMID: 26612108     DOI: 10.1080/07391102.2015.1117397

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  4 in total

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Journal:  J Mol Model       Date:  2018-11-10       Impact factor: 1.810

2.  Screening and heterologous expression of flavone synthase and flavonol synthase to catalyze hesperetin to diosmetin.

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Journal:  J Genet Eng Biotechnol       Date:  2020-07-28

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Authors:  Elvis K Tiburu; Ibrahim Issah; Mabel Darko; Robert E Armah-Sekum; Stephen O A Gyampo; Nadia K Amoateng; Samuel K Kwofie; Gordon Awandare
Journal:  Open Biomed Eng J       Date:  2018-06-29
  4 in total

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