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Multiple drug binding modes in Mycobacterium tuberculosis CYP51B1.

ABSTRACT: The Mycobacterium tuberculosis (Mtb) genome encodes 20 different cytochrome P450 enzymes (CYPs), many of which serve essential biosynthetic roles. CYP51B1, the Mtb version of eukaryotic sterol demethylase, remains a potential therapeutic target. The binding of three drug fragments containing nitrogen heterocycles to CYP51B1 is studied here by continuous wave (CW) and pulsed electron paramagnetic resonance (EPR) techniques to determine how each drug fragment binds to the heme active-site. All three drug fragments form a mixture of complexes, some of which retain the axial water ligand from the resting state. Hyperfine sublevel correlation spectroscopy (HYSCORE) and electron-nuclear double resonance spectroscopy (ENDOR) observe protons of the axial water and on the drug fragments that reveal drug binding modes. Binding in CYP51B1 is complicated by the presence of multiple binding modes that coexist in the same solution. These results aid our understanding of CYP-inhibitor interactions and will help guide future inhibitor design.

SUBMITTER: Lockart MM

PROVIDER: S-EPMC7092363 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description: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 β-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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Multiple drug binding modes in Mycobacterium tuberculosis CYP51B1.

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