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Abstract
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- 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.
Subject headings
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
Keyword
- kohonen network
- mitochondrial processing peptidase (MPP)
- mitochondrial intermediate peptidase (MIP)
- neural network
- protein import
- sequence motif
- mitochondrial targeting
Publication and Content Type
- ref (subject category)
- art (subject category)
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