Subcellular localization is crucial for determining the functions of proteins.
A system called prediction of protein subcellular localization (P2SL) that predicts
the subcellular localization of proteins in eukaryotic organisms based on the
amino acid content of primary sequences using amino acid order is designed.
The approach for prediction is to nd the most frequent motifs for each protein
in a given class based on clustering via self organizing maps and then
to use these most frequent motifs as features for classication by the help of
multi layer perceptrons. This approach allows a classication independent
of the length of the sequence. In addition to these, the use of a new encoding
scheme is described for the amino acids that conserves biological function
based on point of accepted mutations (PAM) substitution matrix. The statistical
test results of the system is presented on a four class problem. P2SL achieves
slightly higher prediction accuracy than the similar studies.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/1082320/index.pdf |
| Date | 01 January 2003 |
| Creators | Ozarar, Mert |
| Contributors | Atalay, Volkan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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