volume 169 issue 3

Tripartite efflux pumps of the RND superfamily: what did we learn from computational studies?

Mohd Athar 1
Silvia Gervasoni 1
Andrea Catte 1
Andrea Basciu 1
Giuliano Malloci 1
Paolo Ruggerone 1
Attilio Vargiu 1
Publication typeJournal Article
Publication date2023-03-27
scimago Q2
wos Q2
SJR0.953
CiteScore5.1
Impact factor3.5
ISSN13500872, 14652080
PubMed ID:  36972322
Microbiology
Abstract

Bacterial resistance to antibiotics has been long recognized as a priority to address for human health. Among all micro-organisms, the so-called multi-drug resistant (MDR) bacteria, which are resistant to most, if not all drugs in our current arsenal, are particularly worrisome. The World Health Organization has prioritized the ESKAPE ( Enterococcus faecium , Staphylococcus aureus , Klebsiella pneumoniae , Acinetobacter baumannii , Pseudomonas aeruginosa and Enterobacter species) pathogens, which include four Gram-negative bacterial species. In these bacteria, active extrusion of antimicrobial compounds out of the cell by means of ‘molecular guns’ known as efflux pumps is a main determinant of MDR phenotypes. The resistance-nodulation-cell division (RND) superfamily of efflux pumps connecting the inner and outer membrane in Gram-negative bacteria is crucial to the onset of MDR and virulence, as well as biofilm formation. Thus, understanding the molecular basis of the interaction of antibiotics and inhibitors with these pumps is key to the design of more effective therapeutics. With the aim to contribute to this challenge, and complement and inspire experimental research, in silico studies on RND efflux pumps have flourished in recent decades. Here, we review a selection of such investigations addressing the main determinants behind the polyspecificity of these pumps, the mechanisms of substrate recognition, transport and inhibition, as well as the relevance of their assembly for proper functioning, and the role of protein–lipid interactions. The journey will end with a perspective on the role of computer simulations in addressing the challenges posed by these beautifully complex machineries and in supporting the fight against the spread of MDR bacteria.

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GOST Copy
Athar M. et al. Tripartite efflux pumps of the RND superfamily: what did we learn from computational studies? // Microbiology. 2023. Vol. 169. No. 3.
GOST all authors (up to 50) Copy
Athar M., Gervasoni S., Catte A., Basciu A., Malloci G., Ruggerone P., Vargiu A. Tripartite efflux pumps of the RND superfamily: what did we learn from computational studies? // Microbiology. 2023. Vol. 169. No. 3.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1099/mic.0.001307
UR - https://doi.org/10.1099/mic.0.001307
TI - Tripartite efflux pumps of the RND superfamily: what did we learn from computational studies?
T2 - Microbiology
AU - Athar, Mohd
AU - Gervasoni, Silvia
AU - Catte, Andrea
AU - Basciu, Andrea
AU - Malloci, Giuliano
AU - Ruggerone, Paolo
AU - Vargiu, Attilio
PY - 2023
DA - 2023/03/27
PB - Microbiology Society
IS - 3
VL - 169
PMID - 36972322
SN - 1350-0872
SN - 1465-2080
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Athar,
author = {Mohd Athar and Silvia Gervasoni and Andrea Catte and Andrea Basciu and Giuliano Malloci and Paolo Ruggerone and Attilio Vargiu},
title = {Tripartite efflux pumps of the RND superfamily: what did we learn from computational studies?},
journal = {Microbiology},
year = {2023},
volume = {169},
publisher = {Microbiology Society},
month = {mar},
url = {https://doi.org/10.1099/mic.0.001307},
number = {3},
doi = {10.1099/mic.0.001307}
}