Diana L. Prado-Romero, Alejandro Gómez-García, Raziel Cedillo-González, Hassan Villegas-Quintero, Juan F. Avellaneda-Tamayo, E. López-López, Fernanda I. Saldívar-González, Ana L. Chávez-Hernández, J. Medina‐Franco
{"title":"从全新设计中获得灵感,利用共识对接辅助工具为 DNA 甲基转移酶 1 抑制剂的活性建模","authors":"Diana L. Prado-Romero, Alejandro Gómez-García, Raziel Cedillo-González, Hassan Villegas-Quintero, Juan F. Avellaneda-Tamayo, E. López-López, Fernanda I. Saldívar-González, Ana L. Chávez-Hernández, J. Medina‐Franco","doi":"10.3389/fddsv.2023.1261094","DOIUrl":null,"url":null,"abstract":"The structure-activity relationships data available in public databases of inhibitors of DNA methyltransferases (DNMTs), families of epigenetic targets, plus the structural information of DNMT1, enables the development of a robust structure-based drug design strategy to study, at the molecular level, the activity of DNMTs inhibitors. In this study, we discuss a consensus molecular docking strategy to aid in explaining the activity of small molecules tested as inhibitors of DNMT1. The consensus docking approach, which was based on three validated docking algorithms of different designs, had an overall good agreement with the experimental enzymatic inhibition assays reported in the literature. The docking protocol was used to explain, at the molecular level, the activity profile of a novel DNMT1 inhibitor with a distinct chemical scaffold whose identification was inspired by de novo design and complemented with similarity searching.","PeriodicalId":73080,"journal":{"name":"Frontiers in drug discovery","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Consensus docking aid to model the activity of an inhibitor of DNA methyltransferase 1 inspired by de novo design\",\"authors\":\"Diana L. Prado-Romero, Alejandro Gómez-García, Raziel Cedillo-González, Hassan Villegas-Quintero, Juan F. Avellaneda-Tamayo, E. López-López, Fernanda I. Saldívar-González, Ana L. Chávez-Hernández, J. Medina‐Franco\",\"doi\":\"10.3389/fddsv.2023.1261094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The structure-activity relationships data available in public databases of inhibitors of DNA methyltransferases (DNMTs), families of epigenetic targets, plus the structural information of DNMT1, enables the development of a robust structure-based drug design strategy to study, at the molecular level, the activity of DNMTs inhibitors. In this study, we discuss a consensus molecular docking strategy to aid in explaining the activity of small molecules tested as inhibitors of DNMT1. The consensus docking approach, which was based on three validated docking algorithms of different designs, had an overall good agreement with the experimental enzymatic inhibition assays reported in the literature. The docking protocol was used to explain, at the molecular level, the activity profile of a novel DNMT1 inhibitor with a distinct chemical scaffold whose identification was inspired by de novo design and complemented with similarity searching.\",\"PeriodicalId\":73080,\"journal\":{\"name\":\"Frontiers in drug discovery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in drug discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fddsv.2023.1261094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in drug discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fddsv.2023.1261094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
DNA 甲基转移酶(DNMTs)抑制剂、表观遗传靶标家族的结构-活性关系数据,加上 DNMT1 的结构信息,使得开发基于结构的药物设计策略成为可能,从而在分子水平上研究 DNMTs 抑制剂的活性。在本研究中,我们讨论了一种共识分子对接策略,以帮助解释作为 DNMT1 抑制剂测试的小分子的活性。该共识对接方法基于三种不同设计的验证对接算法,与文献报道的实验酶抑制测定结果总体上吻合良好。该对接方案在分子水平上解释了一种具有独特化学结构的新型 DNMT1 抑制剂的活性特征。
Consensus docking aid to model the activity of an inhibitor of DNA methyltransferase 1 inspired by de novo design
The structure-activity relationships data available in public databases of inhibitors of DNA methyltransferases (DNMTs), families of epigenetic targets, plus the structural information of DNMT1, enables the development of a robust structure-based drug design strategy to study, at the molecular level, the activity of DNMTs inhibitors. In this study, we discuss a consensus molecular docking strategy to aid in explaining the activity of small molecules tested as inhibitors of DNMT1. The consensus docking approach, which was based on three validated docking algorithms of different designs, had an overall good agreement with the experimental enzymatic inhibition assays reported in the literature. The docking protocol was used to explain, at the molecular level, the activity profile of a novel DNMT1 inhibitor with a distinct chemical scaffold whose identification was inspired by de novo design and complemented with similarity searching.