RESEARCH ARTICLE
FoldRate: A Web-Server for Predicting Protein Folding Rates from Primary Sequence
Chou Kuo-Chen1, 2, *, Shen Hong-Bin1, 2, *
Article Information
Identifiers and Pagination:
Year: 2009Volume: 3
First Page: 31
Last Page: 50
Publisher ID: TOBIOIJ-3-31
DOI: 10.2174/1875036200903010031
Article History:
Received Date: 31/03/2009Revision Received Date: 11/05/2009
Acceptance Date: 12/05/2009
Electronic publication date: 23/07/2009
Collection year: 2009
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
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.
