Change search
ReferencesLink to record
Permanent link

Direct link
Reliability measures for membrane protein topology prediction algorithms
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
2003 In: Journal of Molecular Biology, ISSN 0022-2836, Vol. 327, no 3, 735-744 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2003. Vol. 327, no 3, 735-744 p.
URN: urn:nbn:se:su:diva-24325OAI: diva2:197239
Part of urn:nbn:se:su:diva-6875Available from: 2007-05-24 Created: 2007-05-15Bibliographically approved
In thesis
1. Topology Prediction of Membrane Proteins: Why, How and When?
Open this publication in new window or tab >>Topology Prediction of Membrane Proteins: Why, How and When?
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Membrane proteins are of broad interest since they constitute a large fraction of the proteome in all organisms, up to 20-30%. They play a crucial role in many cellular processes mediating information flow and molecular transport across otherwise nearly impermeable membranes. Traditional three-dimensional structural analyses of membrane proteins are difficult to perform, which makes studies of other structural aspects important. The topology of an α-helical membrane protein is a two-dimensional description of how the protein is embedded in the membrane and gives valuable information on both structure and function.

This thesis is focused on predicting the topology of α-helical membrane proteins and on assessing and improving the prediction accuracy. Reliability scores have been derived for a number of prediction methods, and have been integrated into the widely used TMHMM predictor. The reliability score makes it possible to estimate the trustworthiness of a prediction.

Mapping the full topology of a membrane protein experimentally is time-consuming and cannot be done on a genome-wide scale. However, determination of the location of one part of a membrane protein relative to the membrane is feasible. We have analyzed the impact of incorporating such experimental information a priori into TMHMM predictions and show that the accuracy increases significantly. We further show that the C-terminal location of a membrane protein (inside or outside) is the optimal information to use as a constraint in the predictions.

By combining experimental techniques for determining the C-terminal location of membrane proteins with topology predictions, we have produced reliable topology models for the majority of all membrane proteins in the model organisms E. coli and S. cerevisiae. The results were further expanded to ~15,000 homologous proteins in 38 fully sequenced eukaryotic genomes. This large set of reliable topology models should be useful, in particular as the structural data for eukaryotic membrane proteins is very limited.

Place, publisher, year, edition, pages
Stockholm: Institutionen för biokemi och biofysik, 2007. 61 p.
membrane protein, topology prediction, bioinformatics
National Category
Theoretical Chemistry
Research subject
urn:nbn:se:su:diva-6875 (URN)91-7155-397-5 (ISBN)
Public defence
2007-06-15, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 12 A, Stockholm, 10:00
Available from: 2007-05-24 Created: 2007-05-15Bibliographically approved

Open Access in DiVA

No full text

By organisation
Department of Biochemistry and Biophysics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 20 hits
ReferencesLink to record
Permanent link

Direct link