title: Feature-extraction from endopeptidase cleavage sites in mitochondrial targeting peptides.
abstract: Cleavage sites in nuclear-encoded mitochondrial protein targeting peptides (mTPs) from mammals, yeast, and plants have been analysed for characteristic physicochemical features using statistical methods, perceptrons, multilayer neural networks, and self-organizing feature maps. Three different sequence motifs were found, revealing loosely defined arginine motifs with Arg in positions -10, -3, and -2. A self-organizing feature map was able to cluster these three types of endopeptidase target sites but did not identify any species-specific characteristics in mTPs. Neural networks were used to define local sequence features around precursor cleavage sites.
authors.affiliation: Freie Universität Berlin, Universitätsklinikum Benjamin Franklin, Institut für Medizinische/Technische Physik und Lasermedizin, AG Molekulare Bioinformatik, Germany.
authors.forename: G
authors.initials: G
authors.lastname: Schneider
authors.forename: S
authors.initials: S
authors.lastname: Sjöling
authors.forename: E
authors.initials: E
authors.lastname: Wallin
authors.forename: P
authors.initials: P
authors.lastname: Wrede
authors.forename: E
authors.initials: E
authors.lastname: Glaser
authors.forename: G
authors.initials: G
authors.lastname: von Heijne
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D005656:Fungal Proteins / Q000737:chemistry* / Q000235:genetics; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry* / Q000235:genetics; D010940:Plant Proteins / Q000737:chemistry* / Q000235:genetics; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D016415:Sequence Alignment; D017421:Sequence Analysis
chemical_list: D005656:Fungal Proteins; D010455:Peptides; D010940:Plant Proteins; D011506:Proteins; C061942:mitochondrial addressing peptide