{"title":"MPBuild:用于高保真膜蛋白模拟系统构建的自动化管道。","authors":"Qing Liu,Wei Ding,Xiaojun Yao,Shenglong Ling,Changlin Tian","doi":"10.1021/acs.jctc.5c01078","DOIUrl":null,"url":null,"abstract":"Membrane proteins serve as the targets for 50% of FDA-approved drugs, but their dynamic characterization via molecular dynamics simulation is hindered by labor-intensive system preparation. To address this challenge, we developed MPBuild─an automated pipeline integrating structural repair, noncanonical component parametrization, and system assembly. Key innovations include (i) template-guided restoration of wild-type sequences and missing domains, (ii) automated force field generation for complex ligands, and (iii) decomposed PDB outputs enabling minute-scale system rebuilding. Benchmarked across 11 diverse membrane protein systems, MPBuild achieved processing times comparable to those of CHARMM-GUI when structural repair durations were excluded. Case studies validated the biophysical accuracy: Reproduced binding interfaces of GPR68-Gq; accurately captured SSTR2/5 and octreotide interactions, and suggested potential novel motifs that may underlie receptor subtype selectivity. In summary, MPBuild serves as a powerful tool for high-throughput membrane protein drug discovery, offering an end-to-end solution that streamlines the entire process from system preparation to simulation.","PeriodicalId":45,"journal":{"name":"Journal of Chemical Theory and Computation","volume":"109 1","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MPBuild: An Automated Pipeline for High-Fidelity Membrane Protein Simulation System Construction.\",\"authors\":\"Qing Liu,Wei Ding,Xiaojun Yao,Shenglong Ling,Changlin Tian\",\"doi\":\"10.1021/acs.jctc.5c01078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Membrane proteins serve as the targets for 50% of FDA-approved drugs, but their dynamic characterization via molecular dynamics simulation is hindered by labor-intensive system preparation. To address this challenge, we developed MPBuild─an automated pipeline integrating structural repair, noncanonical component parametrization, and system assembly. Key innovations include (i) template-guided restoration of wild-type sequences and missing domains, (ii) automated force field generation for complex ligands, and (iii) decomposed PDB outputs enabling minute-scale system rebuilding. Benchmarked across 11 diverse membrane protein systems, MPBuild achieved processing times comparable to those of CHARMM-GUI when structural repair durations were excluded. Case studies validated the biophysical accuracy: Reproduced binding interfaces of GPR68-Gq; accurately captured SSTR2/5 and octreotide interactions, and suggested potential novel motifs that may underlie receptor subtype selectivity. In summary, MPBuild serves as a powerful tool for high-throughput membrane protein drug discovery, offering an end-to-end solution that streamlines the entire process from system preparation to simulation.\",\"PeriodicalId\":45,\"journal\":{\"name\":\"Journal of Chemical Theory and Computation\",\"volume\":\"109 1\",\"pages\":\"\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chemical Theory and Computation\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.jctc.5c01078\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Theory and Computation","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.jctc.5c01078","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
MPBuild: An Automated Pipeline for High-Fidelity Membrane Protein Simulation System Construction.
Membrane proteins serve as the targets for 50% of FDA-approved drugs, but their dynamic characterization via molecular dynamics simulation is hindered by labor-intensive system preparation. To address this challenge, we developed MPBuild─an automated pipeline integrating structural repair, noncanonical component parametrization, and system assembly. Key innovations include (i) template-guided restoration of wild-type sequences and missing domains, (ii) automated force field generation for complex ligands, and (iii) decomposed PDB outputs enabling minute-scale system rebuilding. Benchmarked across 11 diverse membrane protein systems, MPBuild achieved processing times comparable to those of CHARMM-GUI when structural repair durations were excluded. Case studies validated the biophysical accuracy: Reproduced binding interfaces of GPR68-Gq; accurately captured SSTR2/5 and octreotide interactions, and suggested potential novel motifs that may underlie receptor subtype selectivity. In summary, MPBuild serves as a powerful tool for high-throughput membrane protein drug discovery, offering an end-to-end solution that streamlines the entire process from system preparation to simulation.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.