计算机科学
序列(生物学)
折叠(DSP实现)
水准点(测量)
刀切重采样
蛋白质测序
Web服务器
蛋白质折叠
数据挖掘
计算生物学
人工智能
生物信息学
肽序列
互联网
基因
生物
数学
万维网
遗传学
统计
大地测量学
地理
估计员
工程类
电气工程
生物化学
作者
Kuo-Chen Chou,Hong-Bin Shen
出处
期刊:The Open Bioinformatics Journal
[Bentham Science]
日期:2009-07-23
卷期号:3 (1): 31-50
被引量:82
标识
DOI:10.2174/1875036200903010031
摘要
With the avalanche of gene products in the postgenomic age, the gap between newly found protein sequences and the knowledge of their 3D (three dimensional) structures is becoming increasingly wide. It is highly desired to develop a method by which one can predict the folding rates of proteins based on their amino acid sequence information alone. To address this problem, an ensemble predictor, called FoldRate, was developed by fusing the folding-correlated features that can be either directly obtained or easily derived from the sequences of proteins. It was demonstrated by the jackknife cross-validation on a benchmark dataset constructed recently that FoldRate is at least comparable with or even better than the existing methods that, however, need both the sequence and 3D structure information for predicting the folding rate. As a user-friendly web-server, FoldRate is freely accessible to the public at www.csbio.sjtu.edu.cn/bioinf/FoldRate/, by which one can get the desired result for a query protein sequence in around 30 seconds.
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