Presentation 2001/10/11
Prediction of protein localization sites by a support vector machine
Taku Yoshioka, Shin Ishii,
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Abstract(in English) Proteins are synthesized from DNA through the processes of transcription and translation. After the synthesis, the proteins must be localized to appropriate sites in the cell, e.g., the nucleus, prasma membrane and organelles. This is the protein localization. Localization site of a protein depends on the amino acid sequence. We can get insigths about the function of a protein by predicting the localization site from the amino acid sequence. Prediction of protein localization sites is formalized as a pattern classification problem. In this study, we apply a support vector machine to predict localization sites of proteins based on their amino acid sequences.
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Keyword(in English) protein localization / support vector machine / pattern classification / localization signal / amino acid composition
Paper # PRMU2001-107,NC2001-57
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Committee PRMU
Conference Date 2001/10/11(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Prediction of protein localization sites by a support vector machine
Sub Title (in English)
Keyword(1) protein localization
Keyword(2) support vector machine
Keyword(3) pattern classification
Keyword(4) localization signal
Keyword(5) amino acid composition
1st Author's Name Taku Yoshioka
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Shin Ishii
2nd Author's Affiliation Nara Institute of Science and Technology
Date 2001/10/11
Paper # PRMU2001-107,NC2001-57
Volume (vol) vol.101
Number (no) 362
Page pp.pp.-
#Pages 8
Date of Issue