Suppr超能文献

治疗靶点:探索进展及其特征研究

Therapeutic targets: progress of their exploration and investigation of their characteristics.

作者信息

Zheng C J, Han L Y, Yap C W, Ji Z L, Cao Z W, Chen Y Z

机构信息

Bioinformatics and Drug Design Group, Department of Computational Science, National University of Singapore, Singapore, Singapore.

出版信息

Pharmacol Rev. 2006 Jun;58(2):259-79. doi: 10.1124/pr.58.2.4.

Abstract

Modern drug discovery is primarily based on the search and subsequent testing of drug candidates acting on a preselected therapeutic target. Progress in genomics, protein structure, proteomics, and disease mechanisms has led to a growing interest in and effort for finding new targets and more effective exploration of existing targets. The number of reported targets of marketed and investigational drugs has significantly increased in the past 8 years. There are 1535 targets collected in the therapeutic target database compared with approximately 500 targets reported in a 1996 review. Knowledge of these targets is helpful for molecular dissection of the mechanism of action of drugs and for predicting features that guide new drug design and the search for new targets. This article summarizes the progress of target exploration and investigates the characteristics of the currently explored targets to analyze their sequence, structure, family representation, pathway association, tissue distribution, and genome location features for finding clues useful for searching for new targets. Possible "rules" to guide the search for druggable proteins and the feasibility of using a statistical learning method for predicting druggable proteins directly from their sequences are discussed.

摘要

现代药物发现主要基于对作用于预先选定治疗靶点的候选药物进行搜索及后续测试。基因组学、蛋白质结构、蛋白质组学和疾病机制方面的进展,使得人们对寻找新靶点以及更有效地探索现有靶点的兴趣日益浓厚,并投入了更多精力。在过去8年中,已上市和正在研究的药物所报道的靶点数量显著增加。治疗靶点数据库中收集了1535个靶点,而1996年的一篇综述报道的靶点约为500个。了解这些靶点有助于从分子层面剖析药物的作用机制,并预测指导新药设计和寻找新靶点的特征。本文总结了靶点探索的进展,并研究了当前所探索靶点的特征,以分析其序列、结构、家族代表性、通路关联、组织分布和基因组定位特征,从而找到有助于寻找新靶点的线索。还讨论了指导寻找可成药蛋白的可能“规则”,以及使用统计学习方法直接从序列预测可成药蛋白的可行性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验