计算机科学
一套
软件
渡线
测试套件
铅(地质)
软件工程
测试用例
人工智能
操作系统
机器学习
历史
地貌学
地质学
回归分析
考古
作者
Yan Li,Zhixiong Zhao,Zhihai Liu,Minyi Su,Renxiao Wang
标识
DOI:10.1021/acs.jcim.5b00691
摘要
In structure-based drug design, automated de novo design methods are helpful tools for lead discovery as well as lead optimization. In a previous study (J. Chem. Inf. Model. 2011, 51, 1474−1491) we reported a new de novo design method, namely, Automatic Tailoring and Transplanting (AutoT&T). It overcomes some intrinsic problems in conventional fragment-based buildup methods. In this study, we describe an upgraded version, namely, AutoT&T2. Structural operations conducted by AutoT&T2 have been largely optimized by introducing several new algorithms. As a result, its overall speed in multiround optimization jobs has been improved by a few thousand fold. With this improvement, it is now practical to conduct structural crossover among multiple lead molecules using AutoT&T2. Three different test cases are described in this study that demonstrate the new features and versatile applications of AutoT&T2. The AutoT&T2 software suite is available to the public. Besides, a Web portal for running AutoT&T2 online is provided at http://www.sioc-ccbg.ac.cn/software/att2 for testing.
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