Chaos game representation walk model for the protein sequences  

作　　者：高洁 蒋丽丽 徐振源 

机构地区：[1]School of Science, Jiangnan University [2]School of Information Technology, Jiangnan University

出　　处：《Chinese Physics B》2009年第10期4571-4579,共9页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China (Grant No 60575038);the Natural Science Foundation of Jiangnan University, China (Grant No 20070365);the Program for Innovative Research Team of Jiangnan University, China

摘　　要：A new chaos game representation of protein sequences based on the detailed hydrophobic-hydrophilic （HP） model has been proposed by Yu et al （Physica A 337（2004） 171）. A CGR-walk model is proposed based on the new CGR coordinates for the protein sequences from complete genomes in the present paper. The new CCR coordinates based on the detailed HP model are converted into a time series, and a long-memory ARFIMA（p, d, q） model is introduced into the protein sequence analysis. This model is applied to simulating real CCR-walk sequence data of twelve protein sequences. Remarkably long-range correlations are uncovered in the data and the results obtained from these models are reasonably consistent with those available from the ARFIMA（p, d, q） model.A new chaos game representation of protein sequences based on the detailed hydrophobic-hydrophilic （HP） model has been proposed by Yu et al （Physica A 337（2004） 171）. A CGR-walk model is proposed based on the new CGR coordinates for the protein sequences from complete genomes in the present paper. The new CCR coordinates based on the detailed HP model are converted into a time series, and a long-memory ARFIMA（p, d, q） model is introduced into the protein sequence analysis. This model is applied to simulating real CCR-walk sequence data of twelve protein sequences. Remarkably long-range correlations are uncovered in the data and the results obtained from these models are reasonably consistent with those available from the ARFIMA（p, d, q） model.

关 键 词：chaos game representation CGR-walk model protein sequence long-memory ARFIMA（p d q） model autocorrelation function 

分 类 号：Q51[生物学—生物化学]