人类免疫缺陷病毒(HIV)
药物发现
药品
逆转录酶
组合化学
计算生物学
HIV-1蛋白酶
蛋白酶
计算机科学
药理学
生物
化学
生物信息学
酶
生物化学
病毒学
核糖核酸
基因
作者
Xiao-Yu Qing,Shiwei Wang,Yaxia Yuan,Jianfeng Pei,Luhua Lai
出处
期刊:Springer eBooks
[Springer Nature]
日期:2021-01-01
卷期号:: 279-298
标识
DOI:10.1007/978-1-0716-1209-5_16
摘要
Designing drugs that directly interact with multiple targets is a promising approach for treating complicated diseases. In order to successfully bind to multiple targets of different families and achieve the desired ligand efficiency, multi-target-directed ligands (MTDLs) require a higher level of diversity and complexity. De novo design strategies for creating more diverse chemical entities with desired properties may present an improved approach for developing MTDLs. In this chapter, we describe a computational protocol for developing MTDLs using the first reported multi-target de novo program, LigBuilder 3, which combines a binding site prediction module with de novo drug design and optimization modules. As an illustration of each detailed procedure, we design dual-functional compounds of two well-characterized virus enzymes, HIV protease and reverse transcriptase (PR and RT, respectively), using fragments extracted from known inhibitors. LigBuilder 3 is accessible at http://www.pkumdl.cn/ligbuilder3/ .
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