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Nucleic Acids Research 2004 32(Web Server Issue):W360-W364; doi:10.1093/nar/gkh376
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© 2004, the authors
Nucleic Acids Research, Vol. 32, Web Server issue © Oxford University Press 2004; all rights reserved

GDAP: a web tool for genome-wide protein disulfide bond prediction

Brian D. O'Connor1,2 and Todd O. Yeates1,2,3,*

1 UCLA-DOE Institute for Genomics and Proteomics, 2 UCLA Molecular Biology Institute and 3 UCLA Department of Chemistry and Biochemistry, Los Angeles, USA

* To whom correspondence should be addressed. Tel: +1 310 206 4866; Fax: +1 310 206 3914; Email: yeates{at}mbi.ucla.edu

Received February 16, 2004; Revised and Accepted March 10, 2004

The Genomic Disulfide Analysis Program (GDAP) provides web access to computationally predicted protein disulfide bonds for over one hundred microbial genomes, including both bacterial and achaeal species. In the GDAP process, sequences of unknown structure are mapped, when possible, to known homologous Protein Data Bank (PDB) structures, after which specific distance criteria are applied to predict disulfide bonds. GDAP also accepts user-supplied protein sequences and subsequently queries the PDB sequence database for the best matches, scans for possible disulfide bonds and returns the results to the client. These predictions are useful for a variety of applications and have previously been used to show a dramatic preference in certain thermophilic archaea and bacteria for disulfide bonds within intracellular proteins. Given the central role these stabilizing, covalent bonds play in such organisms, the predictions available from GDAP provide a rich data source for designing site-directed mutants with more stable thermal profiles. The GDAP web application is a gateway to this information and can be used to understand the role disulfide bonds play in protein stability both in these unusual organisms and in sequences of interest to the individual researcher. The prediction server can be accessed at http://www.doe-mbi.ucla.edu/Services/GDAP.


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