4.7 Article

Molecular rationale for the impairment of the MexAB-OprM efflux pump by a single mutation in MexA

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ELSEVIER
DOI: 10.1016/j.csbj.2021.11.042

关键词

RND efflux pumps; Bacterial resistance; Molecular docking; Molecular dynamics; Protein structure and dynamics

资金

  1. National Institutes of Allergy and Infectious Diseases [AI136799]

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Efflux pumps of the RND superfamily play a role in antibiotic resistance by expelling antibiotics from Gram-negative pathogens. This study investigated the stability of MexA, a membrane fusion protein, and the impact of a mutation on its function. The results show that MexA dimers are stable, but the mutation disrupts the protein's conformational equilibrium, making dimer or higher order assemblies unlikely.
Efflux pumps of the Resistance-Nodulation-cell Division (RND) superfamily contribute to intrinsic and acquired resistance in Gram-negative pathogens by expelling chemically unrelated antibiotics with high efficiency. They are tripartite systems constituted by an inner-membrane-anchored transporter, an outer membrane factor protein, and a membrane fusion protein. Multimerization of the membrane fusion pro-tein is an essential prerequisite for full functionality of these efflux pumps. In this work, we employed complementary computational techniques to investigate the stability of a dimeric unit of MexA (the membrane fusion protein of the MexAB-OprM RND efflux pump of Pseudomonas aeruginosa), and to pro -vide a molecular rationale for the effect of the G72S substitution, which affects MexAB-OprM function-ality by impairing the assembly of MexA. Our findings indicate that: i) dimers of this protein are stable in multiple ms-long molecular dynamics simulations; ii) the mutation drastically alters the conforma-tional equilibrium of MexA, favouring a collapsed conformation that is unlikely to form dimers or higher order assemblies. Unveiling the mechanistic aspects underlying large conformational distortions induced by minor sequence changes is informative to efforts at interfering with the activity of this elusive bacte-rial weapon. In this respect, our work further confirms how molecular simulations can give important contribution and useful insights to characterize the mechanism of highly complex biological systems.(c) 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).

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