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

Bioinformatics. 2005 May 1;21(9):1825-30. doi: 10.1093/bioinformatics/bti280. Epub 2005 Jan 25.

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 Saccharomyces 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 <10(-5) and an Identity >30% were accepted as true homologues of the yeast proteins. These human proteins were then reanalyzed 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. One hundred twenty eight of these proteins are novel and are of unknown function.

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

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Conserved Sequence
  • Databases, Protein*
  • Gene Expression Profiling / methods*
  • Genome, Fungal
  • Genome, Human
  • Humans
  • Mitochondrial Proteins / genetics*
  • Mitochondrial Proteins / metabolism*
  • Proteome / genetics
  • Proteome / metabolism
  • Saccharomyces cerevisiae Proteins / genetics*
  • Saccharomyces cerevisiae Proteins / metabolism*
  • Sequence Alignment / methods*
  • Sequence Analysis, Protein / methods*
  • Sequence Homology, Amino Acid
  • Species Specificity

Substances

  • Mitochondrial Proteins
  • Proteome
  • Saccharomyces cerevisiae Proteins