Skip Navigation



Bioinformatics Advance Access published online on November 11, 2004
Bioinformatics, doi:10.1093/bioinformatics/bti130
Bioinformatics © Oxford University Press 2004; all rights reserved
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
21/7/1269    most recent
bti130v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Kiemer, L.
Right arrow Articles by Blom, N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kiemer, L.
Right arrow Articles by Blom, N.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Received September 1, 2004
Accepted October 28, 2004

Applications note

NetAcet: prediction of N-terminal acetylation sites

Lars Kiemer 1, Jannick Dyrløv Bendtsen 1, and Nikolaj Blom 1*

1 Center for Biological Sequence Analysis, BioCentrum-DTU, Building 208, Technical University of Denmark, DK-2800 Lyngby, Denmark

* To whom correspondence should be addressed.
Nikolaj Blom, E-mail: nikob{at}cbs.dtu.dk


  Abstract

Summary: We present here a neural network based method for prediction of amino-terminal acetylation -- by far the most abundant post-translational modification in eukaryotes. The method was developed on a yeast data set for N-acetyltransferase A (NatA) acetylation, which is the type of N-acetylation for which most examples are known and for which orthologs have been found in several eukaryotes. We obtain correlation coefficients close to 0.7 on yeast data and a sensitivity up to 74% on mammalian data, suggesting that the method is valid for other eukaryotic NatA orthologs.

Availability: The NetAcet prediction method is available as a public web server at http://www.cbs.dtu.dk/services/NetAcet/.

Supplementary information: http://www.cbs.dtu.dk/services/NetAcet/.


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
 Mol. Cell. ProteomicsHome page
H. Li, X. Xing, G. Ding, Q. Li, C. Wang, L. Xie, R. Zeng, and Y. Li
SysPTM: A Systematic Resource for Proteomic Research on Post-translational Modifications
Mol. Cell. Proteomics, August 1, 2009; 8(8): 1839 - 1849.
[Abstract] [Full Text] [PDF]

Home page
 J R Soc InterfaceHome page
G. A Reeves, D. Talavera, and J. M Thornton
Genome and proteome annotation: organization, interpretation and integration
J R Soc Interface, February 6, 2009; 6(31): 129 - 147.
[Abstract] [Full Text] [PDF]

Home page
 J Exp BotHome page
R. L. Houtz, R. Magnani, N. R. Nayak, and L. M. A. Dirk
Co- and post-translational modifications in Rubisco: unanswered questions
J. Exp. Bot., May 1, 2008; 59(7): 1635 - 1645.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
P. I. Olason
Integrating protein annotation resources through the Distributed Annotation System
Nucleic Acids Res., July 1, 2005; 33(suppl_2): W468 - W470.
[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.