Literature DB >> 33183167

Molecular modeling approach to identify inhibitors of Rv2004c (rough morphology and virulent strain gene), a DosR (dormancy survival regulator) regulon protein from Mycobacterium tuberculosis.

V G Shanmuga Priya1, Vishwambhar Bhandare2, Uday M Muddapur3, Priya Swaminathan4, Prayagraj M Fandilolu5, Kailas D Sonawane5,6.   

Abstract

Being a part of dormancy survival regulator (DosR) regulon, Rv2004c (rough morphology and virulent strain gene) has been identified in earlier experimental studies as an indispensable protein required for the growth and survival of Mycobacterium tuberculosis. This protein was predicted to have a role in inhibition of phospholipase A2 activity related to immuno-defence and other membrane-related events. Thus, considering significance of Rv2004c protein, a structure-based drug designing strategy was followed to identify potential inhibitors to this novel target. Initially, to validate the target, absence of homologous proteins in the host was verified through sequence and structure similarity search against human proteome. Then, a potential ligand binding site on the target was identified and virtual screening against Zinc database molecules was carried out. The top scoring hits along with their analogs were taken for docking studies with Glide. The binding free energy of the docked complexes of the Glide hits were predicted by Prime program from Schrodinger and molecules ZINC57990006, ZINC33605742, ZINC71773467 and ZINC34198774 were recognized as potential hits against this target. Analyzing the predicted pharmacokinetic properties of the molecules from QikProp and admetSAR tool, ZINC34198774 was identified as a valid molecule. Molecular dynamics simulation studies ascertained that ZINC34198774 could be a potential inhibitor against Rv2004c. Thus, results acquired from this study could be of use to design new therapeutics against tuberculosis.Communicated by Ramaswamy H. Sarma.

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Keywords:  ADME/T; M. Tuberculosis; Rv2004c; docking; molecular dynamics simulation

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Year:  2020        PMID: 33183167     DOI: 10.1080/07391102.2020.1846620

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


  1 in total

1.  Molecular modelling and simulation techniques to investigate the effects of fungal metabolites on the SARS-CoV-2 RdRp protein inhibition.

Authors:  Uday M Muddapur; Shrikanth Badiger; Ibrahim Ahmed Shaikh; Mohammed M Ghoneim; Saleh A Alshamrani; Mater H Mahnashi; Fahad Alsaikhan; Mohamed El-Sherbiny; Rasha Hamed Al-Serwi; Aejaz Abdul Latif Khan; Basheerahmed Abdulaziz Mannasaheb; Amal Bahafi; S M Shakeel Iqubal; Touseef Begum; Helen Suban Mohammed Gouse; Tasneem Mohammed; Veeranna S Hombalimath
Journal:  J King Saud Univ Sci       Date:  2022-06-03
  1 in total

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