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Feature-extraction from endopeptidase cleavage sites in mitochondrial targeting peptides
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1998 (English)In: Proteins: Structure, Function, and Bioinformatics, ISSN 0887-3585, E-ISSN 1097-0134, Vol. 30, no 1, p. 49-60Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
1998. Vol. 30, no 1, p. 49-60
Keywords [en]
kohonen network, mitochondrial processing peptidase (MPP), mitochondrial intermediate peptidase (MIP), neural network, protein import, sequence motif, mitochondrial targeting
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:sh:diva-13846DOI: 10.1002/(SICI)1097-0134(19980101)30:1<49::AID-PROT5>3.3.CO;2-PISI: 000071328500005OAI: oai:DiVA.org:sh-13846DiVA, id: diva2:464532
Available from: 2011-12-13 Created: 2011-12-13 Last updated: 2018-01-26Bibliographically approved

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Sjöling, Sara

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  • de-DE
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  • en-US
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  • nn-NB
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