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Prediction of protein folding rates from primary sequence by fusing multiple sequential features 被引量:6
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作者 Hong-Bin Shen jiang-ning song Kuo-Chen Chou 《Journal of Biomedical Science and Engineering》 2009年第3期136-143,共8页
We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequence information alone. The web- server is called Pred-PFR (Predicting Protein Folding Rate). Pred-PFR is feature... We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequence information alone. The web- server is called Pred-PFR (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence. The ensemble pre-dictor thus formed is superior to the individual ones, as demonstrated by achieving higher correlation coefficient and lower root mean square deviation between the predicted and observed results when examined by the jack-knife cross-validation on a benchmark dataset constructed recently. As a user-friendly web- server, Pred-PFR is freely accessible to the public at www.csbio.sjtu.edu.cn/bioinf/Folding Rate/. 展开更多
关键词 Protein FOLDING Rate ENSEMBLE PREDICTOR Fusion Approach Web-Server Pred-PFR
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