期刊
MOLECULES
卷 27, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/molecules27030885
关键词
drug resistance; mutations; rifampicin; rpoB; molecular dynamics simulations; dynamic residue network analysis
资金
- Grand Challenges Africa Drug Discovery programme through Alliance for Accelerating Excellence in Science in Africa (AESA) [GCA/DD/rnd3/023]
- AAS
- African Union Development Agency (AUDA-NEPAD)
- Bill & Melinda Gates Foundation (BMGF)
- Swedish International Development Cooperation Agency (SIDA)
- German Federal Ministry of Education and Research (BMBF)
- Medicines for Malaria Venture (MMV)
- Drug Discovery and Development Centre of University of Cape Town (H3D)
In this study, the researchers investigated the structural basis and mechanisms of resistance mutations in the DNA-directed RNA polymerase (rpoB) that cause resistance to the anti-tuberculosis drug rifampicin (RIF). Through a combination of molecular docking analysis and molecular dynamics simulations, they identified six mutations that adversely affected RIF binding. These mutations were found to cause conformational changes in rpoB and perturb RIF binding. The researchers believe that this approach can be applied to study other similar cases of drug resistance.
Tuberculosis (TB), caused by the Mycobacterium tuberculosis infection, continues to be a leading cause of morbidity and mortality in developing countries. Resistance to the first-line anti-TB drugs, isoniazid (INH) and rifampicin (RIF), is a major drawback to effective TB treatment. Genetic mutations in the beta-subunit of the DNA-directed RNA polymerase (rpoB) are reported to be a major reason of RIF resistance. However, the structural basis and mechanisms of these resistant mutations are insufficiently understood. In the present study, thirty drug-resistant mutants of rpoB were initially modeled and screened against RIF via a comparative molecular docking analysis with the wild-type (WT) model. These analyses prioritized six mutants (Asp441Val, Ser456Trp, Ser456Gln, Arg454Gln, His451Gly, and His451Pro) that showed adverse binding affinities, molecular interactions, and RIF binding hinderance properties, with respect to the WT. These mutant models were subsequently analyzed by molecular dynamics (MD) simulations. One-hundred nanosecond all-atom MD simulations, binding free energy calculations, and a dynamic residue network analysis (DRN) were employed to exhaustively assess the impact of mutations on RIF binding dynamics. Considering the global structural motions and protein-ligand binding affinities, the Asp441Val, Ser456Gln, and His454Pro mutations generally yielded detrimental effects on RIF binding. Locally, we found that the electrostatic contributions to binding, particularly by Arg454 and Glu487, might be adjusted to counteract resistance. The DRN analysis revealed that all mutations mostly distorted the communication values of the critical hubs and may, therefore, confer conformational changes in rpoB to perturb RIF binding. In principle, the approach combined fundamental molecular modeling tools for robust global and local level analyses of structural dynamics, making it well suited for investigating other similar drug resistance cases.
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