{"title":"P4ward:原三元配合物的自动建模平台。","authors":"Paula Jofily, and , Subha Kalyaanamoorthy*, ","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, and , Subha Kalyaanamoorthy*, \",\"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}
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.
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.
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