{"title":"基于计算片段的潜在 Glo-I 抑制剂药物设计。","authors":"Roaa S Bibars, Qosay A Al-Balas","doi":"10.1080/14756366.2024.2301758","DOIUrl":null,"url":null,"abstract":"<p><p>In this study, a fragment-based drug design approach, particularly <i>de novo</i> drug design, was implemented utilising three different crystal structures in order to discover new privileged scaffolds against glyoxalase-I enzyme as anticancer agents. The fragments were evoluted to indicate potential inhibitors with high receptor affinities. The resulting compounds were served as a benchmark for choosing similar compounds from the ASINEX® database by applying different computational ligand-based drug design techniques. Afterwards, the selection of potential hits was further aided by various structure-based approaches. Then, 14 compounds were purchased, and tested <i>in vitro</i> against Glo-I enzyme. Of the tested 14 hits, the biological screening results showed humble activities where the percentage of Glo-I inhibition ranged from 0-18.70 %. Compound <b>19</b> and compound <b>28</b>, whose percentage of inhibitions are 18.70 and 15.80%, respectively, can be considered as hits that need further optimisation in order to be converted into lead-like compounds.</p>","PeriodicalId":15769,"journal":{"name":"Journal of Enzyme Inhibition and Medicinal Chemistry","volume":"39 1","pages":"2301758"},"PeriodicalIF":5.6000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10810659/pdf/","citationCount":"0","resultStr":"{\"title\":\"Computational fragment-based drug design of potential Glo-I inhibitors.\",\"authors\":\"Roaa S Bibars, Qosay A Al-Balas\",\"doi\":\"10.1080/14756366.2024.2301758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this study, a fragment-based drug design approach, particularly <i>de novo</i> drug design, was implemented utilising three different crystal structures in order to discover new privileged scaffolds against glyoxalase-I enzyme as anticancer agents. The fragments were evoluted to indicate potential inhibitors with high receptor affinities. The resulting compounds were served as a benchmark for choosing similar compounds from the ASINEX® database by applying different computational ligand-based drug design techniques. Afterwards, the selection of potential hits was further aided by various structure-based approaches. Then, 14 compounds were purchased, and tested <i>in vitro</i> against Glo-I enzyme. Of the tested 14 hits, the biological screening results showed humble activities where the percentage of Glo-I inhibition ranged from 0-18.70 %. Compound <b>19</b> and compound <b>28</b>, whose percentage of inhibitions are 18.70 and 15.80%, respectively, can be considered as hits that need further optimisation in order to be converted into lead-like compounds.</p>\",\"PeriodicalId\":15769,\"journal\":{\"name\":\"Journal of Enzyme Inhibition and Medicinal Chemistry\",\"volume\":\"39 1\",\"pages\":\"2301758\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10810659/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Enzyme Inhibition and Medicinal Chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14756366.2024.2301758\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Enzyme Inhibition and Medicinal Chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14756366.2024.2301758","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Computational fragment-based drug design of potential Glo-I inhibitors.
In this study, a fragment-based drug design approach, particularly de novo drug design, was implemented utilising three different crystal structures in order to discover new privileged scaffolds against glyoxalase-I enzyme as anticancer agents. The fragments were evoluted to indicate potential inhibitors with high receptor affinities. The resulting compounds were served as a benchmark for choosing similar compounds from the ASINEX® database by applying different computational ligand-based drug design techniques. Afterwards, the selection of potential hits was further aided by various structure-based approaches. Then, 14 compounds were purchased, and tested in vitro against Glo-I enzyme. Of the tested 14 hits, the biological screening results showed humble activities where the percentage of Glo-I inhibition ranged from 0-18.70 %. Compound 19 and compound 28, whose percentage of inhibitions are 18.70 and 15.80%, respectively, can be considered as hits that need further optimisation in order to be converted into lead-like compounds.
期刊介绍:
Journal of Enzyme Inhibition and Medicinal Chemistry publishes open access research on enzyme inhibitors, inhibitory processes, and agonist/antagonist receptor interactions in the development of medicinal and anti-cancer agents.
Journal of Enzyme Inhibition and Medicinal Chemistry aims to provide an international and interdisciplinary platform for the latest findings in enzyme inhibition research.
The journal’s focus includes current developments in:
Enzymology;
Cell biology;
Chemical biology;
Microbiology;
Physiology;
Pharmacology leading to drug design;
Molecular recognition processes;
Distribution and metabolism of biologically active compounds.