徐秀娟

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:女

毕业院校:吉林大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程

办公地点:开发区综合楼

电子邮箱:xjxu@dlut.edu.cn

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MUTUAL ARTIFICIAL BEE COLONY ALGORITHM FOR MOLECULAR DOCKING

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论文类型:期刊论文

发表时间:2013-11-01

发表刊物:INTERNATIONAL JOURNAL OF BIOMATHEMATICS

收录刊物:SCIE、Scopus

卷号:6

期号:6

ISSN号:1793-5245

关键字:Artificial Bee Colony; AutoDock; molecular docking

摘要:Molecular docking method plays an important role on the quest of potential drug candidates, which has been proven to be a valuable tool for virtual screening. Molecular docking is commonly referred to as a parameter optimization problem. During the last decade, some optimization algorithms have been introduced, such as Lamarckian genetic algorithm (LGA) and SODOCK embedded in the AutoDock program. On the basis of the latest docking software AutoDock4.2, we present a novel docking program ABCDock, which incorporates mutual artificial bee colony (MutualABC) into AutoDock. Computer simulation results demonstrate that ABCDock takes precedence over AutoDock and SODOCK, in terms of convergence performance, accuracy, and the lowest energy, especially for highly flexible ligands. It is noteworthy that ABCDock yields a higher success rate. Also, in comparison with the other state-of-the-art docking methods, namely GOLD, DOCK and FlexX, ABCDock provides the smallest RMSD in 27 of 37 cases.