Sign in
BioinformaticsMicrobiology Research Journal International
Peer-reviewed journal article

Glycosylated Antibiotics: New Promising Bacterial Efflux Pumps Inhibitors

Zahraa Ali KamaziD, Haruna Isiyaku UmariD, Parth DoshiiD, Praveenya Suri

Abstract

BackgroundAntimicrobial resistance is considered a major concern problem; bacteria have evolved mechanisms to overcome antibiotics action through evolutionary process. One main resistance mechanism that bacteria developed is the pumping of the antibiotics out of bacterial cells by transmembrane transporter proteins known as efflux pumps. Materials and methodsTo overcome bacterial resistance guided by efflux pumps, efflux pumps inhibitors (EPIs) are small molecules that obstruct efflux pumps binding sites and its structural assembly leading to disability in the efflux pumps normal function, new EPIs which under the current study are created by modifying the chemical structure of most common antibiotics including Ampicillin, Penicillin, Chloramphenicol, Ciprofloxacin and Tetracycline, such antibiotics are modified by adding N-acetyl glucose amine moiety to acceptor OH group of the respective antibiotic, the newly modified antibiotics are glycosylated EPIs. To test the effectiveness of the new EPIs in inhibiting AcrB-TolC and MexA-OprM efflux pumps functions, ADME properties for all of glycosylated antibiotics have been measured through applying Lipinskis role of 5, docking and simulation studies have been included as well. ResultsDocked glycosylated tetracycline has given the highest binding energy in the active sites of both pumps, with -9.4 against AcrB and -8.8 against MexA. The simulation study has confirmed the binding of the glycosylated tetracycline in the active sites of both pumps, as well as its stability during the biological dynamicity of both pumps (opening and closing channels). ConclusionThe results validation requires a long simulation time about 50 ns or more which was un applicable due to cost limitation, however, the newly glycosylated antibiotics have promising results that might make it eligible as drug candidates to overcome bacterial resistance.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
1
FWCI
0.12
Field percentile
32th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZhu '25Lewis '22Zwama '22Szal '25Gray '25Choi '24
70% semantic matchMicrobiology
Yiling Zhu, Charlotte K. Hind, Taha Al‐Adhami+4 more·ACS Infectious Diseases·Feb 27, 2025· 2 citations