Prediction of protein folding rates from primary sequence by fusing multiple sequential features
نویسندگان
چکیده
We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequence information alone. The webserver 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 predictor 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 jackknife cross-validation on a benchmark dataset constructed recently. As a user-friendly webserver, Pred-PFR is freely accessible to the public at www.csbio.sjtu.edu.cn/bioinf/Folding Rate/.
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FoldRate: A Web-Server for Predicting Protein Folding Rates from Primary Sequence
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