Skip Navigation



Nucleic Acids Research Advance Access published online on November 12, 2009
Nucleic Acids Research, doi:10.1093/nar/gkp1042
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (11216K) Freely available
Right arrow Screen PDF (1237K) Freely available
Right arrow Supplementary Data
Right arrow Alert me when this article is cited
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 arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Marsico, A.
Right arrow Articles by Schroeder, M.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Marsico, A.
Right arrow Articles by Schroeder, M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

MeMotif: a database of linear motifs in {alpha}-helical transmembrane proteins

Annalisa Marsico*, Kerstin Scheubert, Anne Tuukkanen, Andreas Henschel, Christof Winter, Rainer Winnenburg and Michael Schroeder

Bioinformatics Department, Biotechnology Center, TU Dresden, Tatzberg 47/49, 01307 Dresden, Germany

* To whom correspondence should be addressed. Tel: +49 (0) 35146340067; Email: annalisa{at}biotec.tu-dresden.de

Received September 1, 2009. Revised October 22, 2009. Accepted October 23, 2009.

Membrane proteins are important for many processes in the cell and used as main drug targets. The increasing number of high-resolution structures available makes for the first time a characterization of local structural and functional motifs in {alpha}-helical transmembrane proteins possible. MeMotif (http://projects.biotec.tu-dresden.de/memotif) is a database and wiki which collects more than 2000 known and novel computationally predicted linear motifs in {alpha}-helical transmembrane proteins. Motifs are fully described in terms of several structural and functional features and editable. Motifs contained in MeMotif can be used in different biological applications, from the identification of biochemically important functional residues which are candidates for mutagenesis experiments to the improvement of tools for transmembrane protein modeling.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




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.