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Nucleic Acids Research 2006 34(Web Server issue):W267-W272; doi:10.1093/nar/gkl161
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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

NeuroPred: a tool to predict cleavage sites in neuropeptide precursors and provide the masses of the resulting peptides

Bruce R. Southey1,2, Andinet Amare2, Tyler A. Zimmerman2, Sandra L. Rodriguez-Zas1 and Jonathan V. Sweedler2,*

1 Department of Animal Sciences, University of Illinois Urbana, IL, USA 2 Department of Chemistry, University of Illinois Urbana, IL, USA

*To whom correspondence should be addressed. Tel: +1 217 244 7359; Fax: +1 217 244 8068; Email: jsweedle{at}uiuc.edu

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

NeuroPred is a web application designed to predict cleavage sites at basic amino acid locations in neuropeptide precursor sequences. The user can study one amino acid sequence or multiple sequences simultaneously, selecting from several prediction models and optional, user-defined functions. Logistic regression models are trained on experimentally verified or published cleavage data from mollusks, mammals and insects, and amino acid motifs reported to be associated with cleavage. Confidence interval limits of the probabilities of cleavage indicate the precision of the predictions; these predictions are transformed into cleavage or non-cleavage events according to user-defined thresholds. In addition to the precursor sequence, NeuroPred accepts user-specified cleavage information, providing model accuracy statistics based on observed and predicted cleavages. Neuropred also computes the mass of the predicted peptides, including user-selectable post-translational modifications. The resulting mass list aids the discovery and confirmation of new neuropeptides using mass spectrometry techniques. The NeuroPred application, manual, reference manuscripts and training sequences are available at http://neuroproteomics.scs.uiuc.edu/neuropred.html.


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B. R. Southey, J. V. Sweedler, and S. L. Rodriguez-Zas
Prediction of neuropeptide cleavage sites in insects
Bioinformatics, March 15, 2008; 24(6): 815 - 825.
[Abstract] [Full Text] [PDF]



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