Research on encode influencing protein secondary structure prediction - 文章详情页

作者：

Ruan, Xiao-Gang (Ruan, Xiao-Gang.) | Sun, Hai-Jun (Sun, Hai-Jun.)

收录：

EI Scopus PKU CSCD

摘要：

In　order　to　compare　orthogonal　encoding,　five　byte　encoding,　Codon　encoding　(two)　and　Profile　encoding　to　find　out　their　virtues　and　shortcomings,　we　carefully　studied　them　with　artificial　neural　network.　Results　indicated　that　Profile　encoding　that　preserves　the　redundant　evolutionary　information　got　higher　prediction　performance,　and　that　how　to　use　biologic　evolutionary　information　effectively　is　very　important　to　improve　accuracy　of　protein　secondary　structure　prediction.

关键词：

Algorithms Amino acids Backpropagation Encoding (symbols) Information analysis Neural networks Proteins Technological forecasting

作者机构：

[ 1 ] [Ruan, Xiao-Gang]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Sun, Hai-Jun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

通讯作者信息：

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至