Skip Navigation

Nucleic Acids Research 2006 34(Web Server issue):W70-W74; doi:10.1093/nar/gkl043
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (492K) Freely available
Right arrow Screen PDF (192K) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Gromiha, M. M.
Right arrow Articles by Selvaraj, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Gromiha, M. M.
Right arrow Articles by Selvaraj, S.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oxfordjournals.org

Article

FOLD-RATE: prediction of protein folding rates from amino acid sequence

M. Michael Gromiha*, A. Mary Thangakani1 and S. Selvaraj2

Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST) AIST Tokyo Waterfront Bio-IT Research Building, 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan 1 Advanced Technology Institute Inc. Tokyo, Japan 2 Department of Bioinformatics, Bharathidasan University Tiruchirappalli 620 024 TN, India

*To whom correspondence should be addressed. Tel: +81 3 3599 8046; Fax: +81 3 3599 8081; Email: michael-gromiha{at}aist.go.jp

Received December 21, 2005. Revised February 3, 2006. Accepted February 3, 2006.

We have developed a web server, FOLD-RATE, for predicting the folding rates of proteins from their amino acid sequences. The relationship between amino acid properties and protein folding rates has been systematically analyzed and a statistical method based on linear regression technique has been proposed for predicting the folding rate of proteins. We found that the classification of proteins into different structural classes shows an excellent correlation between amino acid properties and folding rates of two and three-state proteins. Consequently, different regression equations have been developed for proteins belonging to all-{alpha}, all-ß and mixed class. We observed an excellent agreement between predicted and experimentally observed folding rates of proteins; the correlation coefficients are, 0.99, 0.97 and 0.90, respectively, for all-{alpha}, all-ß and mixed class proteins. The prediction server is freely available at http://psfs.cbrc.jp/fold-rate/.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Nucleic Acids ResHome page
N. S. Bogatyreva, A. A. Osypov, and D. N. Ivankov
KineticDB: a database of protein folding kinetics
Nucleic Acids Res., October 8, 2008; (2008) gkn696v1.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
E. Capriotti and R. Casadio
K-Fold: a tool for the prediction of the protein folding kinetic order and rate
Bioinformatics, February 1, 2007; 23(3): 385 - 386.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
K. F. Fulton, M. A. Bate, N. G. Faux, K. Mahmood, C. Betts, and A. M. Buckle
Protein Folding Database (PFD 2.0): an online environment for the International Foldeomics Consortium
Nucleic Acids Res., January 12, 2007; 35(suppl_1): D304 - D307.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.