增强martinini3蛋白自相互作用模拟。

IF 4.7 3区 医学 Q1 PHARMACOLOGY & PHARMACY European Journal of Pharmaceutical Sciences Pub Date : 2025-06-01 Epub Date: 2025-03-10 DOI:10.1016/j.ejps.2025.107068
Jonas Binder , Matja Zalar , Martin Huelsmeyer , Michael Siedler , Robin Curtis , Wolfgang Friess
{"title":"增强martinini3蛋白自相互作用模拟。","authors":"Jonas Binder ,&nbsp;Matja Zalar ,&nbsp;Martin Huelsmeyer ,&nbsp;Michael Siedler ,&nbsp;Robin Curtis ,&nbsp;Wolfgang Friess","doi":"10.1016/j.ejps.2025.107068","DOIUrl":null,"url":null,"abstract":"<div><div>Coarse-grained molecular dynamics simulations are highly valuable for studying protein-protein interactions. Unfortunately, commonly used force fields often overestimate these interactions. Here, we investigate the performance of the Martini 3 force field in predicting the self-interaction behavior of lysozyme and subtilisin using Metadynamics. The original Martini 3, despite improvements over its predecessor, overestimates interaction strength. Through reparameterization of bead interactions, we achieve good agreement with experimental data of the second virial coefficient and the diffusion coefficient. The new, refined force field enables more accurate CG-MD simulations, with potential applications in understanding and prediction of protein stability, aggregation tendencies, and solubility, with the possibility to aid in the development of protein-based drugs.</div></div>","PeriodicalId":12018,"journal":{"name":"European Journal of Pharmaceutical Sciences","volume":"209 ","pages":"Article 107068"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Martini 3 for protein self-interaction simulations\",\"authors\":\"Jonas Binder ,&nbsp;Matja Zalar ,&nbsp;Martin Huelsmeyer ,&nbsp;Michael Siedler ,&nbsp;Robin Curtis ,&nbsp;Wolfgang Friess\",\"doi\":\"10.1016/j.ejps.2025.107068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Coarse-grained molecular dynamics simulations are highly valuable for studying protein-protein interactions. Unfortunately, commonly used force fields often overestimate these interactions. Here, we investigate the performance of the Martini 3 force field in predicting the self-interaction behavior of lysozyme and subtilisin using Metadynamics. The original Martini 3, despite improvements over its predecessor, overestimates interaction strength. Through reparameterization of bead interactions, we achieve good agreement with experimental data of the second virial coefficient and the diffusion coefficient. The new, refined force field enables more accurate CG-MD simulations, with potential applications in understanding and prediction of protein stability, aggregation tendencies, and solubility, with the possibility to aid in the development of protein-based drugs.</div></div>\",\"PeriodicalId\":12018,\"journal\":{\"name\":\"European Journal of Pharmaceutical Sciences\",\"volume\":\"209 \",\"pages\":\"Article 107068\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Pharmaceutical Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0928098725000673\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Pharmaceutical Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928098725000673","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

粗粒度的分子动力学模拟对于研究蛋白质之间的相互作用具有很高的价值。不幸的是,通常使用的力场往往高估了这些相互作用。在此,我们利用元动力学研究了Martini 3力场在预测溶菌酶和枯草菌素的自相互作用行为中的表现。最初的马提尼3,尽管改进了它的前身,高估了相互作用的强度。通过对头相互作用的重新参数化,得到了与实验数据吻合较好的二次维里系数和扩散系数。新的、精细的力场可以实现更精确的CG-MD模拟,在理解和预测蛋白质稳定性、聚集倾向和溶解度方面具有潜在的应用,并有可能帮助开发基于蛋白质的药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhancing Martini 3 for protein self-interaction simulations
Coarse-grained molecular dynamics simulations are highly valuable for studying protein-protein interactions. Unfortunately, commonly used force fields often overestimate these interactions. Here, we investigate the performance of the Martini 3 force field in predicting the self-interaction behavior of lysozyme and subtilisin using Metadynamics. The original Martini 3, despite improvements over its predecessor, overestimates interaction strength. Through reparameterization of bead interactions, we achieve good agreement with experimental data of the second virial coefficient and the diffusion coefficient. The new, refined force field enables more accurate CG-MD simulations, with potential applications in understanding and prediction of protein stability, aggregation tendencies, and solubility, with the possibility to aid in the development of protein-based drugs.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.60
自引率
2.20%
发文量
248
审稿时长
50 days
期刊介绍: The journal publishes research articles, review articles and scientific commentaries on all aspects of the pharmaceutical sciences with emphasis on conceptual novelty and scientific quality. The Editors welcome articles in this multidisciplinary field, with a focus on topics relevant for drug discovery and development. More specifically, the Journal publishes reports on medicinal chemistry, pharmacology, drug absorption and metabolism, pharmacokinetics and pharmacodynamics, pharmaceutical and biomedical analysis, drug delivery (including gene delivery), drug targeting, pharmaceutical technology, pharmaceutical biotechnology and clinical drug evaluation. The journal will typically not give priority to manuscripts focusing primarily on organic synthesis, natural products, adaptation of analytical approaches, or discussions pertaining to drug policy making. Scientific commentaries and review articles are generally by invitation only or by consent of the Editors. Proceedings of scientific meetings may be published as special issues or supplements to the Journal.
期刊最新文献
Novel indole-based derivatives as promising NLRP3 inflammasome inhibitors: Design, synthesis, biological evaluation, and in silico studies Development and validation of a semi-automated hybrid immunocapture liquid chromatography-mass spectrometry method to quantify LALA-mutated biotherapeutics in mouse plasma Development and optimization of an LED–based particle image velocimetry methodology for dynamic powder flowability in pharmaceutical manufacturing Organotypic retinal cultures as an ex vivo screening platform for PLGA-based neuroprotective microspheres Prognostic significance and therapeutic implications of migrasome-related genes in Sorafenib treatment for primary liver cancer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1