title: Mitoproteome: human heart mitochondrial protein sequence database.
abstract: The human mitochondrial proteome database has been developed by deriving data from a combination of public repositories and experimental and computational prediction methods. The experimental data is derived from highly purified mitochondria from human heart tissue, whereas predictions have been performed by MITOPRED, a genome-scale method for the prediction of nucleus-encoded mitochondrial proteins. Mitochondrial protein sequences from different sources have been clustered to generate a nonredundant dataset. Annotations related to the protein function, structure, disease association, pathways, and so on are collected from a number of public databases using commonly used UNIX and Perl scripts. This chapter provides a detailed description of various data sources and methods used to download, curate, parse, and generate meaningful annotations from primary as well as derived databases.
authors.affiliation: Gen*NY*sis Center for Excellence in Cancer Genomics, State University of New York at Albany, Rensselaer, NY, USA.
authors.forename: Purnima
authors.initials: P
authors.lastname: Guda
authors.forename: Shankar
authors.initials: S
authors.lastname: Subramaniam
authors.forename: Chittibabu
authors.initials: C
authors.lastname: Guda
mesh_terms: D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D006801:Humans; D008929:Mitochondria, Heart / Q000378:metabolism*; D024101:Mitochondrial Proteins / Q000032:analysis*; D020543:Proteome / Q000032:analysis*
chemical_list: D024101:Mitochondrial Proteins; D020543:Proteome