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Nucleic Acids Research 2006 34(Web Server issue):W239-W242; doi:10.1093/nar/gkl190
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© 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

CUPSAT: prediction of protein stability upon point mutations

Vijaya Parthiban, M. Michael Gromiha1 and Dietmar Schomburg*

Cologne University Bioinformatics Center, International Max Planck Research School Cologne, Germany 1 Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology Japan

*To whom correspondence should be addressed. Tel: +49 221 4706441; Fax: +49 221 4707786; Email: D.Schomburg{at}uni-koeln.de

Received February 14, 2006. Revised March 20, 2006. Accepted March 20, 2006.

CUPSAT (Cologne University Protein Stability Analysis Tool) is a web tool to analyse and predict protein stability changes upon point mutations (single amino acid mutations). This program uses structural environment specific atom potentials and torsion angle potentials to predict {Delta}{Delta}G, the difference in free energy of unfolding between wild-type and mutant proteins. It requires the protein structure in Protein Data Bank format and the location of the residue to be mutated. The output consists information about mutation site, its structural features (solvent accessibility, secondary structure and torsion angles), and comprehensive information about changes in protein stability for 19 possible substitutions of a specific amino acid mutation. Additionally, it also analyses the ability of the mutated amino acids to adapt the observed torsion angles. Results were tested on 1538 mutations from thermal denaturation and 1603 mutations from chemical denaturation experiments. Several validation tests (split-sample, jack-knife and k-fold) were carried out to ensure the reliability, accuracy and transferability of the prediction method that gives >80% prediction accuracy for most of these validation tests. Thus, the program serves as a valuable tool for the analysis of protein design and stability. The tool is accessible from the link http://cupsat.uni-koeln.de.


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