{"title":"Development of PROTACs using computational approaches.","authors":"Jingxuan Ge, Chang-Yu Hsieh, Meijing Fang, Huiyong Sun, Tingjun Hou","doi":"10.1016/j.tips.2024.10.006","DOIUrl":null,"url":null,"abstract":"<p><p>Proteolysis-targeting chimeras (PROTACs) are drugs designed to degrade target proteins via the ubiquitin-proteasome system. With the application of computational biology/chemistry technique in drug design, numerous computer-aided drug design and artificial intelligence (AI)-driven drug design (CADD/AIDD) methods have recently emerged to facilitate the development of PROTAC drugs. We systematically review the role of in silico tools in PROTAC drug design, emphasizing how computational software can model PROTAC action and structure, predict activity, and assist in molecule design. We also discuss current challenges in the rational design of PROTACs from an in silico perspective, such as deviations from small-molecule druggability and the limited availability of training data. We provide an overview of recent discoveries and emerging research in this field, and discuss their potential impact on PROTAC design strategies.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"1162-1174"},"PeriodicalIF":13.9000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in pharmacological sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.tips.2024.10.006","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Proteolysis-targeting chimeras (PROTACs) are drugs designed to degrade target proteins via the ubiquitin-proteasome system. With the application of computational biology/chemistry technique in drug design, numerous computer-aided drug design and artificial intelligence (AI)-driven drug design (CADD/AIDD) methods have recently emerged to facilitate the development of PROTAC drugs. We systematically review the role of in silico tools in PROTAC drug design, emphasizing how computational software can model PROTAC action and structure, predict activity, and assist in molecule design. We also discuss current challenges in the rational design of PROTACs from an in silico perspective, such as deviations from small-molecule druggability and the limited availability of training data. We provide an overview of recent discoveries and emerging research in this field, and discuss their potential impact on PROTAC design strategies.
期刊介绍：
Trends in Pharmacological Sciences (TIPS) is a monthly peer-reviewed reviews journal that focuses on a wide range of topics in pharmacology, pharmacy, pharmaceutics, and toxicology. Launched in 1979, TIPS publishes concise articles discussing the latest advancements in pharmacology and therapeutics research.
The journal encourages submissions that align with its core themes while also being open to articles on the biopharma regulatory landscape, science policy and regulation, and bioethics.
Each issue of TIPS provides a platform for experts to share their insights and perspectives on the most exciting developments in the field. Through rigorous peer review, the journal ensures the quality and reliability of published articles.
Authors are invited to contribute articles that contribute to the understanding of pharmacology and its applications in various domains. Whether it's exploring innovative drug therapies or discussing the ethical considerations of pharmaceutical research, TIPS provides a valuable resource for researchers, practitioners, and policymakers in the pharmacological sciences.
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