P4ward:原三元配合物的自动建模平台。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Paula Jofily,  and , Subha Kalyaanamoorthy*, 
{"title":"P4ward:原三元配合物的自动建模平台。","authors":"Paula Jofily,&nbsp; and ,&nbsp;Subha Kalyaanamoorthy*,&nbsp;","doi":"10.1021/acs.jcim.5c00614","DOIUrl":null,"url":null,"abstract":"<p >Proteolysis Targeting Chimeras (Protacs) are a new class of drugs which promote degradation of a protein of interest (POI) by hijacking the Ubiquitin-Proteasome system. Structural knowledge of an E3 ligase:Protac:POI ternary complex is required for Protac rational design, and computational modeling of such heteromeric complex structures is nontrivial. To date, few programs have been developed to address this challenge; however, there remains a need for readily accessible tools that can significantly improve ternary complex modeling accuracy. Particularly, programs that can also support the screening phase of Protac discovery, where speed and the ability to test multiple Protacs are essential to advance the field of Protac therapeutics. To bridge these gaps, we present P4ward, a free and fully automated Protac ternary complex modeling pipeline. P4ward achieves a hit rate of 76.5% with an average rank of 7.26 and substantially improves the rank of the near-native pose by 73–98% compared to earlier programs. We believe that P4ward could be a user-friendly, fast, and effective tool for gaining atomistic insights necessary for Protac modeling and optimization.</p>","PeriodicalId":44,"journal":{"name":"Journal of Chemical Information and Modeling ","volume":"65 16","pages":"8806–8818"},"PeriodicalIF":5.3000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"P4ward: An Automated Modeling Platform for Protac Ternary Complexes\",\"authors\":\"Paula Jofily,&nbsp; and ,&nbsp;Subha Kalyaanamoorthy*,&nbsp;\",\"doi\":\"10.1021/acs.jcim.5c00614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Proteolysis Targeting Chimeras (Protacs) are a new class of drugs which promote degradation of a protein of interest (POI) by hijacking the Ubiquitin-Proteasome system. Structural knowledge of an E3 ligase:Protac:POI ternary complex is required for Protac rational design, and computational modeling of such heteromeric complex structures is nontrivial. To date, few programs have been developed to address this challenge; however, there remains a need for readily accessible tools that can significantly improve ternary complex modeling accuracy. Particularly, programs that can also support the screening phase of Protac discovery, where speed and the ability to test multiple Protacs are essential to advance the field of Protac therapeutics. To bridge these gaps, we present P4ward, a free and fully automated Protac ternary complex modeling pipeline. P4ward achieves a hit rate of 76.5% with an average rank of 7.26 and substantially improves the rank of the near-native pose by 73–98% compared to earlier programs. We believe that P4ward could be a user-friendly, fast, and effective tool for gaining atomistic insights necessary for Protac modeling and optimization.</p>\",\"PeriodicalId\":44,\"journal\":{\"name\":\"Journal of Chemical Information and Modeling \",\"volume\":\"65 16\",\"pages\":\"8806–8818\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chemical Information and Modeling \",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.jcim.5c00614\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Information and Modeling ","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jcim.5c00614","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

摘要

靶向蛋白水解嵌合体(Proteolysis Targeting Chimeras, Protacs)是一类通过劫持泛素-蛋白酶体系统促进目标蛋白(POI)降解的新型药物。E3连接酶:Protac:POI三元配合物的结构知识是Protac合理设计所必需的,并且这种异质复杂结构的计算建模是非简单的。迄今为止,针对这一挑战的项目很少;然而,仍然需要易于访问的工具,可以显著提高三元复杂建模的准确性。特别是,可以支持Protac发现的筛选阶段的项目,在筛选阶段,测试多种Protac的速度和能力对于推进Protac治疗领域至关重要。为了弥补这些差距,我们提出了P4ward,一个自由和全自动的Protac三元复杂建模管道。P4ward实现了76.5%的命中率,平均排名为7.26,与早期的程序相比,近原生姿势的排名大幅提高了73-98%。我们相信P4ward可以成为一个用户友好的、快速的、有效的工具,用于获得Protac建模和优化所必需的原子洞察力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

P4ward: An Automated Modeling Platform for Protac Ternary Complexes

P4ward: An Automated Modeling Platform for Protac Ternary Complexes

Proteolysis Targeting Chimeras (Protacs) are a new class of drugs which promote degradation of a protein of interest (POI) by hijacking the Ubiquitin-Proteasome system. Structural knowledge of an E3 ligase:Protac:POI ternary complex is required for Protac rational design, and computational modeling of such heteromeric complex structures is nontrivial. To date, few programs have been developed to address this challenge; however, there remains a need for readily accessible tools that can significantly improve ternary complex modeling accuracy. Particularly, programs that can also support the screening phase of Protac discovery, where speed and the ability to test multiple Protacs are essential to advance the field of Protac therapeutics. To bridge these gaps, we present P4ward, a free and fully automated Protac ternary complex modeling pipeline. P4ward achieves a hit rate of 76.5% with an average rank of 7.26 and substantially improves the rank of the near-native pose by 73–98% compared to earlier programs. We believe that P4ward could be a user-friendly, fast, and effective tool for gaining atomistic insights necessary for Protac modeling and optimization.

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
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信