Structure prediction, molecular simulations of RmlD from Mycobacterium tuberculosis, and interaction studies of Rhodanine derivatives for anti-tuberculosis activity.
Harathi NSreenivasa Reddy PMounica SuraJayasimha Rayalu DaddamPublished in: Journal of molecular modeling (2021)
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.
Keyphrases
- mycobacterium tuberculosis
- pulmonary tuberculosis
- molecular dynamics
- multidrug resistant
- molecular docking
- escherichia coli
- case control
- structure activity relationship
- molecular dynamics simulations
- adverse drug
- drug induced
- public health
- hiv aids
- healthcare
- emergency department
- pseudomonas aeruginosa
- acinetobacter baumannii
- gram negative
- klebsiella pneumoniae
- cystic fibrosis
- binding protein