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Nucleic Acids Research 2006 34(Database Issue):D705-D711; doi:10.1093/nar/gkj127
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Nucleic Acids Research, 2006, Vol. 34, Database issue D705-D711
© 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{at}oxfordjournals.org

Article

MitoP2: the mitochondrial proteome database—now including mouse data

H. Prokisch1,2,*, C. Andreoli1, U. Ahting1, K. Heiss1, A. Ruepp3, C. Scharfe4 and T. Meitinger1,2

1Institute of Human Genetics, Technical University of Munich Munich, Germany 2Institute of Human Genetics, GSF National Research Center for Environment and Health Neuherberg, Germany 3Institute for Bioinformatics, GSF National Research Center for Environment and Health Neuherberg, Germany 4Department of Biochemistry and Stanford Genome Technology Center 855 California Avenue, Palo Alto, CA 94304, USA

*To whom correspondence should be addressed. Tel: +49 89 3187 2890; Fax: +49 89 3187 3297; Email: prokisch{at}gsf.de

Received September 15, 2005. Revised October 18, 2005. Accepted October 18, 2005.

The MitoP2 database (http://www.mitop.de) integrates information on mitochondrial proteins, their molecular functions and associated diseases. The central database features are manually annotated reference proteins localized or functionally associated with mitochondria supplied for yeast, human and mouse. MitoP2 enables (i) the identification of putative orthologous proteins between these species to study evolutionarily conserved functions and pathways; (ii) the integration of data from systematic genome-wide studies such as proteomics and deletion phenotype screening; (iii) the prediction of novel mitochondrial proteins using data integration and the assignment of evidence scores; and (iv) systematic searches that aim to find the genes that underlie common and rare mitochondrial diseases. The data and analysis files are referenced to data sources in PubMed and other online databases and can be easily downloaded. MitoP2 users can explore the relationship between mitochondrial dysfunctions and disease and utilize this information to conduct systems biology approaches on mitochondria.


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