iSyn: WebGL-based interactive de novo drug design

被引:5
|
作者
Li, Hongjian [1 ]
Leung, Kwong-Sak [1 ]
Chan, Chun Ho [1 ]
Cheung, Hei Lun [1 ]
Wong, Man-Hon [1 ]
机构
[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Hong Kong, Peoples R China
关键词
Bioinformatics; Computer-Aided Drug Discovery; Evolutionary Algorithm; WebGL Visualization; ALGORITHM; AUTOGROW; ZINC;
D O I
10.1109/IV.2014.10
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present iSyn, a WebGL-based tool for interactive de novo drug design. It features an evolutionary algorithm that automatically designs novel ligands with drug-like properties and synthetic feasibility using click chemistry. iSyn interfaces with our popular and fast molecular docking engine idock, remarkably reducing the evaluation and ranking time of drug candidates. Furthermore, inspired by our user friendly and high-performance WebGL visualizer iview, our iSyn also implements a tailor-made interactive visualizer to aid novel drug design. We believe iSyn can supplement the efforts of medicinal chemists in drug discovery research. To illustrate the utility of iSyn in generating novel ligands ex nihilo, we designed predicted inhibitors of two important drug targets, which are RNA editing ligase 1 (REL1) from T. brucei, the etiological agent of African sleeping sickness, and cyclin-dependent kinase 2 (CDK2), a positive regulator of eukaryotic cell cycle progression. Results show that iSyn managed to significantly enhance the predicted binding affinity of the best generated ligand by more than 3 orders of magnitude in potency. iSyn is written in C++, Python, HTML5 and JavaScript. It is free and open source, available at http://istar.cse.cuhk.edu.hk/iSyn.tgz. It has been tested successfully on both Linux and Windows.
引用
收藏
页码:302 / 307
页数:6
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