Bioinformatics Advance Access published online on June 18, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn309
Predicting sub-Golgi localization of type II membrane proteins
1 Applied Bioinformatics, PRI, Wageningen UR, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
2 Metabolic Regulation, PRI, Wageningen UR, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
3 Biometris, PRI, Wageningen UR, Bornsesteeg 47, 6708 PD Wageningen, The Netherlands
*To whom correspondence should be addressed. Dr. R. C. H. J. van Ham, E-mail: roeland.vanham{at}wur.nl
| Abstract |
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Motivation: Recent research underlines the importance of fine-grained knowledge on protein localization. In particular, sub-compartmental localization in the Golgi apparatus is important, for example, for the order of reactions performed in glycosylation pathways or the sorting functions of SNAREs, but is currently poorly understood.
Results: We assemble a dataset of type II transmembrane proteins with experimentally determined sub-Golgi localizations and use this information to develop a predictor based on the transmembrane domain of these proteins, making use of a dedicated protein-structure based kernel in an SVM. Various applications demonstrate the power of our approach. In particular, comparison with a large set of glycan structures illustrates the applicability of our predictions on a glycomic scale and demonstrates a significant correlation between sub-Golgi localization and the ordering of different steps in glycan biosynthesis.
Contact: roeland.vanham{at}wur.nl
Associate Editor: Prof. Burkhard Rost
Received on March 28, 2008; revised on June 9, 2008; accepted on June 11, 2008