Computational method to predict mitochondrially imported proteins and their targeting sequences

被引:1542
|
作者
Claros, MG
Vincens, P
机构
[1] ECOLE NORMALE SUPER,CNRS,URA 1302,GENET MOL LAB,PARIS,FRANCE
[2] ECOLE NORMALE SUPER,DEPT BIOL,F-75231 PARIS,FRANCE
来源
EUROPEAN JOURNAL OF BIOCHEMISTRY | 1996年 / 241卷 / 03期
关键词
mitochondria; protein import; discriminant function; targeting sequence; transit peptide;
D O I
10.1111/j.1432-1033.1996.00779.x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Most of the proteins that are used in mitochondria an imported through the double membrane of the organelle. The information that guides the protein to mitochondria is contained in its sequence and structure, although no direct evidence can be obtained. In this article, discriminant analysis has been performed with 47 parameters and a large set of mitochondrial proteins extracted from the SwissProt database. A computational method that facilitates the analysis and objective prediction of mitochondrially imported proteins has been developed. If only the amino acid sequence is considered, 75-97% of the mitochondrial proteins studied have been predicted to be imported into mitochondria. Moreover, the existence of mitochondrial-targeting sequences is predicted in 76-94% of the analyzed mitochondrial precursor proteins. As a practical application, the number of unknown yeast open reading frames that might be mitochondrial proteins has been predicted, which revealed that many of them are clustered.
引用
收藏
页码:779 / 786
页数:8
相关论文
共 50 条
  • [31] Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin
    Fleishman, Sarel J.
    Whitehead, Timothy A.
    Ekiert, Damian C.
    Dreyfus, Cyrille
    Corn, Jacob E.
    Strauch, Eva-Maria
    Wilson, Ian A.
    Baker, David
    SCIENCE, 2011, 332 (6031) : 816 - 821
  • [32] A fast method to predict protein interaction sites from sequences
    Gallet, X
    Charloteaux, B
    Thomas, A
    Brasseur, R
    JOURNAL OF MOLECULAR BIOLOGY, 2000, 302 (04) : 917 - 926
  • [33] Novel computational method for predicting minimum RNA binding sequences
    Anderson, Peter C.
    Mecozzi, Sandro
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2006, 232 : 264 - 264
  • [34] A computational method to analyze the similarity of biological sequences under uncertainty
    Khastan, A.
    Hooshyar, L.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2019, 16 (06): : 33 - 41
  • [35] Optimizing a computational method for length lower bounds for reflecting sequences
    Dai, HK
    COMPUTING AND COMBINATORICS, 2001, 2108 : 228 - 236
  • [36] Computational methods for predicting structure of membrane proteins using amino acid sequences
    Simakova, M. N.
    Simakov, N. N.
    MOLECULAR BIOLOGY, 2013, 47 (02) : 307 - 315
  • [37] Computational methods for predicting structure of membrane proteins using amino acid sequences
    M. N. Simakova
    N. N. Simakov
    Molecular Biology, 2013, 47 : 307 - 315
  • [38] Computational analysis of the amino acid residue sequences of amaranth and some other proteins
    Gorinstein, S
    Zemser, M
    Fliess, A
    Shnitman, I
    Paredes-Lopez, O
    Yamamoto, K
    Kobayashi, S
    Taniguchi, H
    BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY, 1998, 62 (10) : 1845 - 1851
  • [39] Nuclear matrix targeting of steroid receptors: Specific signal sequences and acceptor proteins
    DeFranco, DB
    Guerrero, J
    CRITICAL REVIEWS IN EUKARYOTIC GENE EXPRESSION, 2000, 10 (01): : 39 - 44
  • [40] iMLP, a predictor for internal matrix targeting-like sequences in mitochondrial proteins
    Schneider, Kevin
    Zimmer, David
    Nielsen, Henrik
    Herrmann, Johannes M.
    Muehlhaus, Timo
    BIOLOGICAL CHEMISTRY, 2021, 402 (08) : 937 - 943