Efficiency of QM/MM optimization and fragment molecular orbital calculations for investigating interactions between zinc metalloprotease and its inhibitors
{"title":"Efficiency of QM/MM optimization and fragment molecular orbital calculations for investigating interactions between zinc metalloprotease and its inhibitors","authors":"Haruna Sabishiro, Yoshinobu Nagura, Nagomi Chimura, Masayuki Yuguchi, Chisato Nakatani, Shuta Takenaka, Himena Sugizaki, Noriyuki Kurita","doi":"10.1016/j.jmgm.2025.108977","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, we analyzed the binding characteristics of the zinc (Zn) metalloprotease pseudolysin (PLN) derived from <em>Pseudomonas aeruginosa</em> and its inhibitors at the electronic level to elucidate their interactions with PLN and propose novel inhibitors against PLN. A PLN contains a Zn ion in its active site, and describing the electronic states around the Zn ion accurately using conventional molecular mechanics (MM) calculations is challenging. Therefore, we applied a quantum mechanics/molecular mechanics (QM/MM) hybrid approach to optimize the structures of PLN−inhibitor complexes and verified that the structure obtained by QM/MM closely resembled the experimental one. Furthermore, using the <em>ab initio</em> fragment molecular orbital (FMO) method, we performed a high-precision analysis of specific interactions at the electronic level between PLN amino acid residues and each inhibitor, achieving computational results that reproduced the trend of inhibitory effectiveness observed in previous experiments. Based on the FMO results, we propose a new inhibitor with higher binding affinity for PLN, which is potentially capable of effectively inhibiting its enzymatic function.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"137 ","pages":"Article 108977"},"PeriodicalIF":2.7000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326325000373","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, we analyzed the binding characteristics of the zinc (Zn) metalloprotease pseudolysin (PLN) derived from Pseudomonas aeruginosa and its inhibitors at the electronic level to elucidate their interactions with PLN and propose novel inhibitors against PLN. A PLN contains a Zn ion in its active site, and describing the electronic states around the Zn ion accurately using conventional molecular mechanics (MM) calculations is challenging. Therefore, we applied a quantum mechanics/molecular mechanics (QM/MM) hybrid approach to optimize the structures of PLN−inhibitor complexes and verified that the structure obtained by QM/MM closely resembled the experimental one. Furthermore, using the ab initio fragment molecular orbital (FMO) method, we performed a high-precision analysis of specific interactions at the electronic level between PLN amino acid residues and each inhibitor, achieving computational results that reproduced the trend of inhibitory effectiveness observed in previous experiments. Based on the FMO results, we propose a new inhibitor with higher binding affinity for PLN, which is potentially capable of effectively inhibiting its enzymatic function.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.