Insight into the PmrB structures of colistin-resistant Gram-negative bacteria through the multi-template ligand-guided homology modeling and in silico mutagenesis

dc.contributor.authorAnuwongcharoen N.
dc.contributor.authorPhanus-umporn C.
dc.contributor.authorChatupheeraphat C.
dc.contributor.authorWeakwiweak K.
dc.contributor.authorKaewsai N.
dc.contributor.authorEiamphungporn W.
dc.contributor.correspondenceAnuwongcharoen N.
dc.contributor.otherMahidol University
dc.date.accessioned2025-09-22T18:09:57Z
dc.date.available2025-09-22T18:09:57Z
dc.date.issued2025-01-01
dc.description.abstractThe increasing prevalence of colistin-resistant Gram-negative bacteria necessitates the development of novel therapeutic strategies. PmrB, a histidine kinase involved in colistin resistance, represents a promising drug target. However, the absence of experimentally resolved PmrB structures limits structure-based drug design efforts. This study employed a multi-template, ligand-guided homology modeling approach to construct full-length PmrB models for four pathogens: Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa. The resulting models demonstrated high structural integrity, with over 95% of residues located in favored regions and QMEANDisCo global scores ranging from 0.55 to 0.57. Molecular docking simulations guided the selection of representative ligand-bound states for adenosine triphosphate (ATP)-binding site prediction and yielded superior docking scores compared to models generated by AlphaFold, I-TASSER, and SWISS-MODEL. Molecular dynamics (MD) simulations and Molecular Mechanics Generalized Born Surface Area (MM/GBSA) analysis confirmed the stability and binding affinity of the PmrB_ATP complexes, with 1G values ranging from –27.72 to –47.71 kcal/mol. In silico mutagenesis revealed that the T246A and L344P mutations in K. pneumoniae enhanced ATP binding affinity and protein stability, potentially contributing to colistin resistance. Analysis of the PmrB_ATP complexes identified both conserved and speciesspecific interactions. This research provides valuable structural models and mechanistic insights into PmrB, supporting future structure-based drug design and the development of novel interventions against colistin-resistant infections. Subjects Biochemistry, Bioinformatics, Computational Biology, Microbiology, Infectious Diseases
dc.identifier.citationPeerj Vol.13 (2025)
dc.identifier.doi10.7717/peerj.19945
dc.identifier.eissn21678359
dc.identifier.scopus2-s2.0-105015363301
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/112118
dc.rights.holderSCOPUS
dc.subjectNeuroscience
dc.subjectBiochemistry, Genetics and Molecular Biology
dc.subjectAgricultural and Biological Sciences
dc.subjectMedicine
dc.titleInsight into the PmrB structures of colistin-resistant Gram-negative bacteria through the multi-template ligand-guided homology modeling and in silico mutagenesis
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105015363301&origin=inward
oaire.citation.titlePeerj
oaire.citation.volume13
oairecerif.author.affiliationMahidol University

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