基于因子模型对G蛋白偶联受体序列进行聚类  

Clustering of G Protein-Coupled Receptor Sequences Based on Factor Model

作　　者：王华[1] 白凤兰[1] 刘立伟[1] Hua Wang;Fenglan Bai;Liwei Liu(College of Sciences, Dalian Jiaotong University, Dalian Liaoning)

机构地区：[1]大连交通大学理学院,辽宁大连

出　　处：《计算生物学》2017年第3期31-38,共8页Hans Journal of Computational Biology

基　　金：辽宁省教育厅科学研究一般项目(No.L2015093)对本论文的支持。

摘　　要：G蛋白偶联受体(G Protein-Coupled Receptors, GPCRs)是一肽类膜蛋白家族,对GPCRs序列进行聚类分析有着重要的理论意义和应用价值。本文根据氨基酸的分类及其物化性质给出了蛋白质序列的特征向量表示,在此基础上用因子分析法对蛋白质序列的特征向量进行降维得到了因子模型,进而利用因子模型分析了40个GPCRs序列的相似性,并进行聚类分析,得到了较好的结果,为分析比较GPCRs序列提供新的手段。G protein-coupled receptors (GPCRs) is a family of peptide proteins, and it is of great theoretical and practical value to clustering analysis of GPCRs. In this paper, the eigenvector representations of protein sequences are given by the classification and physicochemical properties of amino acids. On the basis of this, dimensions of characteristic vectors of the protein sequences are reduced by factor analysis and obtain factor model. The factor model is used to analyze the similarity of 40 G protein-coupled receptor sequences, simultaneously carrying out the clustering analysis. Better results provide a new approach for analyzing and comparing GPCRs.

关 键 词：蛋白质序列 特征向量 因子模型 聚类分析 

分 类 号：F2[经济管理—国民经济]