基于黏菌算法的蛋白质多序列比对  

Multiple sequence alignment of proteins based on slime mold algorithm

作　　者：王鑫禄[1,2,3] 刘大有 刘思含[1,3] 王征 张丽伟 董飒 Xin-lu WANG;Da-you LIU;Si-han LIU;Zheng WANG;Li-wei ZHANG;Sa DONG(College of Computer Science and Technology,Jilin University,Changchun 130012,China;Key Laboratory of Symbolic Computation and Knowledge Engineering,Ministry of Education,Jilin University,Changchun 130012,China;College of International Education,Jilin University,Changchun 130012,China)

机构地区：[1]吉林大学计算机科学与技术学院,长春130012 [2]吉林大学符号计算与知识工程教育部重点实验室,长春130012 [3]吉林大学国际教育学院,长春130012

出　　处：《吉林大学学报（工学版）》2022年第12期2984-2993,共10页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金重点项目(61133011).

摘　　要：基于黏菌算法(SMA)提出了一种有效的配比模型(SMA_MSA)以辅助判断不同序列之间是否具有同源性,进而预测蛋白质结构。基于BAliBASE 3.0基准数据集,对SMA_MSA和其他经典竞争算法在6类数据集上进行了测试。结果表明:在其中的31个数据集中SMA_SMA有较好的匹配能力,说明了本文模型在蛋白质多序列比对问题中具有很大的发展潜力。Based on the slime mold algorithm(SMA),an effective matching model(SMA_MSA)was developed to assist bioscientists in judging whether different sequences have homology,so as to predict protein structure.SMA_MSA and some other well-known competing algorithms were tested in the six data sets of BAliBASE 3.0.The results clearly show that SMA_SMA has excellent matching ability in the 31 data sets,indicating that the proposed model has great development potential in the problem of protein multiple sequence alignment.

关 键 词：计算机应用 蛋白质多序列比对 黏菌算法 BAliBASE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]