{"title":"人工智能驱动的迁移学习和生成模型(TransGenGRU)使新型天然瓜木酚内酯倍半萜衍生物成为有效的NLRP3抑制剂的药物发现","authors":"Weijiang Lin, Ping Wang, Yishu Zhang, Wenyu Lu, Meng Yang, Zhenzhen Zhu, Xunkai Yin, Jiahao Lv, Zhe Zheng, Shulan Mei, Yan Huang, Wenzhuo Xu, Xiaoqian Peng, Yang Hu, Yinan Zhang, Qi Lv, Jian Liu, Lihong Hu","doi":"10.1021/acs.jmedchem.5c01663","DOIUrl":null,"url":null,"abstract":"The NLRP3 inflammasome is recognized as a critical mediator of innate immunity, which can regulate the maturation of proinflammatory cytokines. Nowadays, several natural products have been confirmed to exhibit potent NLRP3 inhibitory effects and possess novel binding mechanisms with NLRP3. Herein, an AI-driven model (TransGenGRU) is proposed to generate novel natural products with NLRP3 inhibitory activities. Through the modeling of TransGenGRU, two guaianolide sesquiterpenoids (<b>A3</b> and <b>A8</b>) are identified to possess moderate NLRP3 inhibitory activities. Then, through detailed structure optimization, <b>E1</b> demonstrates the most potent NLRP3 inhibitory activity (IC<sub>50</sub> = 24.42 nM), and the inhibitory effect on the NLRP3 inflammasome is correlated to the assembly of NLRP3/pro-caspase-1/ASC. Notably, <b>E1</b> is confirmed to covalent-irreversibly interact with Cys280 that is totally different from <b>MCC950</b>. Besides, <b>E1</b> also demonstrates potent anti-inflammatory activity <i>in vivo</i>, favorable DMPK profiles, and low hERG toxicity. Thus, <b>E1</b> has been considered a novel and potent NLRP3 inhibitor.","PeriodicalId":46,"journal":{"name":"Journal of Medicinal Chemistry","volume":"10 1","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI-Driven Transfer Learning and Generative Model (TransGenGRU) Enables the Drug Discovery of Novel Natural Guaianolide Sesquiterpene Derivatives as Potent NLRP3 Inhibitors\",\"authors\":\"Weijiang Lin, Ping Wang, Yishu Zhang, Wenyu Lu, Meng Yang, Zhenzhen Zhu, Xunkai Yin, Jiahao Lv, Zhe Zheng, Shulan Mei, Yan Huang, Wenzhuo Xu, Xiaoqian Peng, Yang Hu, Yinan Zhang, Qi Lv, Jian Liu, Lihong Hu\",\"doi\":\"10.1021/acs.jmedchem.5c01663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The NLRP3 inflammasome is recognized as a critical mediator of innate immunity, which can regulate the maturation of proinflammatory cytokines. Nowadays, several natural products have been confirmed to exhibit potent NLRP3 inhibitory effects and possess novel binding mechanisms with NLRP3. Herein, an AI-driven model (TransGenGRU) is proposed to generate novel natural products with NLRP3 inhibitory activities. Through the modeling of TransGenGRU, two guaianolide sesquiterpenoids (<b>A3</b> and <b>A8</b>) are identified to possess moderate NLRP3 inhibitory activities. Then, through detailed structure optimization, <b>E1</b> demonstrates the most potent NLRP3 inhibitory activity (IC<sub>50</sub> = 24.42 nM), and the inhibitory effect on the NLRP3 inflammasome is correlated to the assembly of NLRP3/pro-caspase-1/ASC. Notably, <b>E1</b> is confirmed to covalent-irreversibly interact with Cys280 that is totally different from <b>MCC950</b>. Besides, <b>E1</b> also demonstrates potent anti-inflammatory activity <i>in vivo</i>, favorable DMPK profiles, and low hERG toxicity. Thus, <b>E1</b> has been considered a novel and potent NLRP3 inhibitor.\",\"PeriodicalId\":46,\"journal\":{\"name\":\"Journal of Medicinal Chemistry\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medicinal Chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.jmedchem.5c01663\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"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 Medicinal Chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1021/acs.jmedchem.5c01663","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
AI-Driven Transfer Learning and Generative Model (TransGenGRU) Enables the Drug Discovery of Novel Natural Guaianolide Sesquiterpene Derivatives as Potent NLRP3 Inhibitors
The NLRP3 inflammasome is recognized as a critical mediator of innate immunity, which can regulate the maturation of proinflammatory cytokines. Nowadays, several natural products have been confirmed to exhibit potent NLRP3 inhibitory effects and possess novel binding mechanisms with NLRP3. Herein, an AI-driven model (TransGenGRU) is proposed to generate novel natural products with NLRP3 inhibitory activities. Through the modeling of TransGenGRU, two guaianolide sesquiterpenoids (A3 and A8) are identified to possess moderate NLRP3 inhibitory activities. Then, through detailed structure optimization, E1 demonstrates the most potent NLRP3 inhibitory activity (IC50 = 24.42 nM), and the inhibitory effect on the NLRP3 inflammasome is correlated to the assembly of NLRP3/pro-caspase-1/ASC. Notably, E1 is confirmed to covalent-irreversibly interact with Cys280 that is totally different from MCC950. Besides, E1 also demonstrates potent anti-inflammatory activity in vivo, favorable DMPK profiles, and low hERG toxicity. Thus, E1 has been considered a novel and potent NLRP3 inhibitor.
期刊介绍:
The Journal of Medicinal Chemistry is a prestigious biweekly peer-reviewed publication that focuses on the multifaceted field of medicinal chemistry. Since its inception in 1959 as the Journal of Medicinal and Pharmaceutical Chemistry, it has evolved to become a cornerstone in the dissemination of research findings related to the design, synthesis, and development of therapeutic agents.
The Journal of Medicinal Chemistry is recognized for its significant impact in the scientific community, as evidenced by its 2022 impact factor of 7.3. This metric reflects the journal's influence and the importance of its content in shaping the future of drug discovery and development. The journal serves as a vital resource for chemists, pharmacologists, and other researchers interested in the molecular mechanisms of drug action and the optimization of therapeutic compounds.