Structure prediction, molecular simulations of RmlD from Mycobacterium tuberculosis, and interaction studies of Rhodanine derivatives for anti-tuberculosis activity

J Mol Model. 2021 Feb 6;27(3):75. doi: 10.1007/s00894-021-04696-2.

Abstract

Tuberculosis is the most dangerous disease causing maximum deaths than any other, caused by single infectious agent. Due to multidrug resistant of Mycobacterium tuberculosis strains, there is a need of new drugs and drug targets. In this work, we have selected RmlD (α-dTDP-6-deoxy-lyxo-4-hexulose reductase) in the dTDP Rhamnose pathway as drug target to control tuberculosis using Rhodanine analogues. In order to study interaction of RmlD with Rhodanine analogues, a three-dimensional model based on crystal structures such as 1VLO from Clostridium, 1KBZ from Salmonella typhimurium, and 2GGS from Sulfolobus was generated using Modeller 9v7. The modeled structure reliability has been checked using programs such as Procheck, What if, Prosa, Verify 3D, and Errat. In an attempt to find new inhibitors for RmlD enzyme, docking studies were done with a series of Rhodanine and its analogues. Detailed analysis of enzyme-inhibitor interactions identified specific key residues, SER5, VAL9, ILE51, HIS54, and GLY55 which were important in forming hydrogen bonds in binding affinity. Homology modeling and docking studies on RmlD model provided valuable insight information for designing better inhibitors as novel anti-tuberculosis drugs by rational method.

Keywords: Docking; Modeling; Molecular dynamics; Mtb-RmlD; Rhodanine; Tuberculosis.

MeSH terms

  • Antitubercular Agents / chemistry*
  • Antitubercular Agents / pharmacology*
  • Binding Sites
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Mycobacterium tuberculosis / enzymology*
  • Protein Binding
  • Rhodanine / chemistry*
  • Rhodanine / pharmacology*
  • Structure-Activity Relationship

Substances

  • Antitubercular Agents
  • Rhodanine