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Bioinformatics Advance Access published online on January 25, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti280
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Bioinformatics © Oxford University Press 2005; all rights reserved.
Received October 15, 2004
Revised October 14, 2004
Accepted January 17, 2005

Article

Computational identification of human mitochondrial proteins based on homology to yeast mitochondrially-targeted proteins

J. M. Cameron 1, T. Hurd 1, and B. H. Robinson 1*

1 Metabolism Programme, Research Institute, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G1X8, Canada

* To whom correspondence should be addressed.
B. H. Robinson, E-mail: BHR{at}SICKKIDS.CA


  Abstract

Motivation: Patients with defects of the mitochondrial respiratory chain due to mutations in nuclear genes are often undiagnosable due to the lack of information about the role of these genes. We therefore sought to produce a novel dataset of human nuclear-encoded mitochondrial proteins.

Results: We have used the web-based computer program Mitoprot to predict which proteins in the S. cerevisiae genome are targeted to mitochondria. We then used this protein dataset to identify the homologous human proteins in the Unigene database using TBLASTN from NCBI. Human proteins with an Expectation value of less than 10-5 and an Identity of greater than 30% were accepted as true homologues of the yeast proteins. These human proteins were then re-analysed with Mitoprot. The final set of proteins comprises a dataset of 361 human mitochondrially-targeted proteins with homology to all S. cerevisiae mitochondrially-targeted proteins. 128 of these proteins are novel and are of unknown function.

Availability: Supplementary tables will be available from http://www.sickkids.ca/Robinsonlab/.


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