{"title":"基于药效团模型构建的新型LCN2抑制剂鉴定及片段设计筛选海洋化合物文库","authors":"Ningying Zheng, Xuan Li, Nan Zhou, Lianxiang Luo","doi":"10.3390/md23010024","DOIUrl":null,"url":null,"abstract":"<p><p>LCN2, a member of the lipocalin family, is associated with various tumors and inflammatory conditions. Despite the availability of known inhibitors, none have been approved for clinical use. In this study, marine compounds were screened for their ability to inhibit LCN2 using pharmacophore models. Six compounds were optimized for protein binding after being docked against the positive control Compound A. Two compounds showed promising results in ADMET screening. Molecular dynamics simulations were utilized to predict binding mechanisms, with Compound 69081_50 identified as a potential LCN2 inhibitor. MM-PBSA analysis revealed key amino acid residues that are involved in interactions, suggesting that Compound 69081_50 could be a candidate for drug development.</p>","PeriodicalId":18222,"journal":{"name":"Marine Drugs","volume":"23 1","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11767183/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification of Novel LCN2 Inhibitors Based on Construction of Pharmacophore Models and Screening of Marine Compound Libraries by Fragment Design.\",\"authors\":\"Ningying Zheng, Xuan Li, Nan Zhou, Lianxiang Luo\",\"doi\":\"10.3390/md23010024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>LCN2, a member of the lipocalin family, is associated with various tumors and inflammatory conditions. Despite the availability of known inhibitors, none have been approved for clinical use. In this study, marine compounds were screened for their ability to inhibit LCN2 using pharmacophore models. Six compounds were optimized for protein binding after being docked against the positive control Compound A. Two compounds showed promising results in ADMET screening. Molecular dynamics simulations were utilized to predict binding mechanisms, with Compound 69081_50 identified as a potential LCN2 inhibitor. MM-PBSA analysis revealed key amino acid residues that are involved in interactions, suggesting that Compound 69081_50 could be a candidate for drug development.</p>\",\"PeriodicalId\":18222,\"journal\":{\"name\":\"Marine Drugs\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11767183/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marine Drugs\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/md23010024\",\"RegionNum\":2,\"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":"Marine Drugs","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/md23010024","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
Identification of Novel LCN2 Inhibitors Based on Construction of Pharmacophore Models and Screening of Marine Compound Libraries by Fragment Design.
LCN2, a member of the lipocalin family, is associated with various tumors and inflammatory conditions. Despite the availability of known inhibitors, none have been approved for clinical use. In this study, marine compounds were screened for their ability to inhibit LCN2 using pharmacophore models. Six compounds were optimized for protein binding after being docked against the positive control Compound A. Two compounds showed promising results in ADMET screening. Molecular dynamics simulations were utilized to predict binding mechanisms, with Compound 69081_50 identified as a potential LCN2 inhibitor. MM-PBSA analysis revealed key amino acid residues that are involved in interactions, suggesting that Compound 69081_50 could be a candidate for drug development.
期刊介绍:
Marine Drugs (ISSN 1660-3397) publishes reviews, regular research papers and short notes on the research, development and production of drugs from the sea. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible, particularly synthetic procedures and characterization information for bioactive compounds. There is no restriction on the length of the experimental section.