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计算机辅助多靶标药物设计、多靶标虚拟筛选的计算方法在多靶标药物发现中的应用

In-silico approaches to multi-target drug discovery : computer aided multi-target drug design, multi-target virtual screening.

机构信息

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

出版信息

Pharm Res. 2010 May;27(5):739-49. doi: 10.1007/s11095-010-0065-2. Epub 2010 Mar 11.

Abstract

Multi-target drugs against selective multiple targets improve therapeutic efficacy, safety and resistance profiles by collective regulations of a primary therapeutic target together with compensatory elements and resistance activities. Efforts have been made to employ in-silico methods for facilitating the search and design of selective multi-target agents. These methods have shown promising potential in facilitating drug discovery directed at selective multiple targets.

摘要

多靶点药物通过对主要治疗靶点以及补偿元件和耐药活性的集体调控,改善治疗效果、安全性和耐药性。人们已经努力采用计算方法来促进选择性多靶点药物的搜索和设计。这些方法在促进针对选择性多靶点的药物发现方面显示出了有前景的潜力。

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