分子蓝图:通过蛋白质结构分析指导药物发现。

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology
N Aiswarya, Sree Hima, Chandran Remya, D M Vasudevan, K V Dileep, Dileep Francis
{"title":"分子蓝图:通过蛋白质结构分析指导药物发现。","authors":"N Aiswarya, Sree Hima, Chandran Remya, D M Vasudevan, K V Dileep, Dileep Francis","doi":"10.1016/bs.apcsb.2025.04.001","DOIUrl":null,"url":null,"abstract":"<p><p>The structural landscape of proteins serves as a molecular blueprint for drug discovery, offering critical insights into target interactions, binding mechanisms, and rational drug design. Advances in structural biology, including X-ray crystallography, cryo-electron microscopy, and computational modeling, have revolutionized the understanding of protein conformations and dynamics. By integrating structural insights with computational drug design, researchers can predict ligand-binding affinities, optimize drug candidates, and enhance target specificity in an effective manner. This approach has proven instrumental in developing novel therapeutics for diseases ranging from cancer to neurodegenerative disorders. Furthermore, techniques like structure-based drug discovery (SBDD), Ligand based drug design (LBDD), Pharmacophore based drug discovery and molecular dynamics enables the identification of allosteric sites, fostering the development of selective modulators with improved efficacy and reduced off-target effects. This review highlights the pivotal role of protein structure analysis in modern drug discovery, emphasizing its applications in hit identification, lead optimization, and the design of precision therapeutics. Understanding protein structure at atomic resolution remains the cornerstone of rational drug design, paving the way for more effective and personalized therapeutics.</p>","PeriodicalId":7376,"journal":{"name":"Advances in protein chemistry and structural biology","volume":"147 ","pages":"37-99"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular blueprints: Guiding drug discovery through protein structure analysis.\",\"authors\":\"N Aiswarya, Sree Hima, Chandran Remya, D M Vasudevan, K V Dileep, Dileep Francis\",\"doi\":\"10.1016/bs.apcsb.2025.04.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The structural landscape of proteins serves as a molecular blueprint for drug discovery, offering critical insights into target interactions, binding mechanisms, and rational drug design. Advances in structural biology, including X-ray crystallography, cryo-electron microscopy, and computational modeling, have revolutionized the understanding of protein conformations and dynamics. By integrating structural insights with computational drug design, researchers can predict ligand-binding affinities, optimize drug candidates, and enhance target specificity in an effective manner. This approach has proven instrumental in developing novel therapeutics for diseases ranging from cancer to neurodegenerative disorders. Furthermore, techniques like structure-based drug discovery (SBDD), Ligand based drug design (LBDD), Pharmacophore based drug discovery and molecular dynamics enables the identification of allosteric sites, fostering the development of selective modulators with improved efficacy and reduced off-target effects. This review highlights the pivotal role of protein structure analysis in modern drug discovery, emphasizing its applications in hit identification, lead optimization, and the design of precision therapeutics. Understanding protein structure at atomic resolution remains the cornerstone of rational drug design, paving the way for more effective and personalized therapeutics.</p>\",\"PeriodicalId\":7376,\"journal\":{\"name\":\"Advances in protein chemistry and structural biology\",\"volume\":\"147 \",\"pages\":\"37-99\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in protein chemistry and structural biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/bs.apcsb.2025.04.001\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in protein chemistry and structural biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.apcsb.2025.04.001","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

摘要

蛋白质的结构景观是药物发现的分子蓝图,为靶标相互作用、结合机制和合理的药物设计提供了关键的见解。结构生物学的进步,包括x射线晶体学、低温电子显微镜和计算建模,已经彻底改变了对蛋白质构象和动力学的理解。通过将结构见解与计算药物设计相结合,研究人员可以预测配体结合亲和力,优化候选药物,并有效地提高靶标特异性。这种方法已被证明有助于开发从癌症到神经退行性疾病的新疗法。此外,基于结构的药物发现(SBDD)、基于配体的药物设计(LBDD)、基于药效团的药物发现和分子动力学等技术使变构位点的识别成为可能,促进了选择性调节剂的开发,提高了疗效,减少了脱靶效应。本文综述了蛋白质结构分析在现代药物发现中的关键作用,重点介绍了蛋白质结构分析在靶点识别、先导物优化和精准疗法设计等方面的应用。在原子分辨率上理解蛋白质结构仍然是合理药物设计的基石,为更有效和个性化的治疗铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular blueprints: Guiding drug discovery through protein structure analysis.

The structural landscape of proteins serves as a molecular blueprint for drug discovery, offering critical insights into target interactions, binding mechanisms, and rational drug design. Advances in structural biology, including X-ray crystallography, cryo-electron microscopy, and computational modeling, have revolutionized the understanding of protein conformations and dynamics. By integrating structural insights with computational drug design, researchers can predict ligand-binding affinities, optimize drug candidates, and enhance target specificity in an effective manner. This approach has proven instrumental in developing novel therapeutics for diseases ranging from cancer to neurodegenerative disorders. Furthermore, techniques like structure-based drug discovery (SBDD), Ligand based drug design (LBDD), Pharmacophore based drug discovery and molecular dynamics enables the identification of allosteric sites, fostering the development of selective modulators with improved efficacy and reduced off-target effects. This review highlights the pivotal role of protein structure analysis in modern drug discovery, emphasizing its applications in hit identification, lead optimization, and the design of precision therapeutics. Understanding protein structure at atomic resolution remains the cornerstone of rational drug design, paving the way for more effective and personalized therapeutics.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advances in protein chemistry and structural biology
Advances in protein chemistry and structural biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
7.40
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信