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.author | Anuwongcharoen N. | |
| dc.contributor.author | Phanus-umporn C. | |
| dc.contributor.author | Chatupheeraphat C. | |
| dc.contributor.author | Weakwiweak K. | |
| dc.contributor.author | Kaewsai N. | |
| dc.contributor.author | Eiamphungporn W. | |
| dc.contributor.correspondence | Anuwongcharoen N. | |
| dc.contributor.other | Mahidol University | |
| dc.date.accessioned | 2025-09-22T18:09:57Z | |
| dc.date.available | 2025-09-22T18:09:57Z | |
| dc.date.issued | 2025-01-01 | |
| dc.description.abstract | The 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.citation | Peerj Vol.13 (2025) | |
| dc.identifier.doi | 10.7717/peerj.19945 | |
| dc.identifier.eissn | 21678359 | |
| dc.identifier.scopus | 2-s2.0-105015363301 | |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/112118 | |
| dc.rights.holder | SCOPUS | |
| dc.subject | Neuroscience | |
| dc.subject | Biochemistry, Genetics and Molecular Biology | |
| dc.subject | Agricultural and Biological Sciences | |
| dc.subject | Medicine | |
| dc.title | Insight into the PmrB structures of colistin-resistant Gram-negative bacteria through the multi-template ligand-guided homology modeling and in silico mutagenesis | |
| dc.type | Article | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105015363301&origin=inward | |
| oaire.citation.title | Peerj | |
| oaire.citation.volume | 13 | |
| oairecerif.author.affiliation | Mahidol University |
