Suppr超能文献

治疗靶点探索中的进展与问题

Progress and problems in the exploration of therapeutic targets.

作者信息

Zheng Chanjuan, Han Lianyi, Yap Chun W, Xie Bin, Chen Yuzong

机构信息

Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Blk S16, Level 8, 3 Science Drive 2, Singapore 117543.

出版信息

Drug Discov Today. 2006 May;11(9-10):412-20. doi: 10.1016/j.drudis.2006.03.012.

Abstract

Drugs exert their therapeutic effect by binding and regulating the activity of a particular protein or nucleic acid target. A large number of targets have been explored for drug discovery. Continuous effort has been directed at the search for new targets and more-extensive exploration of existing targets. Knowledge of these targets facilitates the understanding of molecular mechanisms of drugs and the effort required for drug discovery and target searches. Areas of progress, current focuses of research and development and the difficulties in target exploration are reviewed. The characteristics of the currently explored targets and their correlation to the level of difficulty for target exploration are analyzed. From these characteristics, simple rules can be derived for estimating the difficulty level of target exploration. The feasibility of predicting druggable proteins by using simple rules and sequence-derived physicochemical properties is also discussed.

摘要

药物通过与特定蛋白质或核酸靶点结合并调节其活性来发挥治疗作用。为了药物研发,人们已经探索了大量的靶点。一直在不断努力寻找新的靶点,并对现有靶点进行更广泛的探索。了解这些靶点有助于理解药物的分子机制以及药物研发和靶点搜索所需的工作。本文综述了进展领域、当前的研发重点以及靶点探索中的困难。分析了目前所探索靶点的特征及其与靶点探索难度水平的相关性。从这些特征中,可以推导出用于估计靶点探索难度水平的简单规则。还讨论了使用简单规则和序列衍生的物理化学性质预测可成药蛋白质的可行性。

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