Prediction of protein subcellular localization based on primary sequence data

Date

2004-04-30

Author

Ozarar, M
Atalay, Mehmet Volkan
Atalay, Rengül

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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 find 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 classification by the help of multi layer perceptrons. This approach allows a classification 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.

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URI

https://hdl.handle.net/11511/30491

DOI

https://doi.org/10.1109/siu.2004.1338272

Conference Name

IEEE 12th Signal Processing and Communications Applications Conference

Collections

Graduate School of Informatics, Conference / Seminar

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Prediction of protein subcellular localization based on primary sequence data Ozarar, M; Atalay, Mehmet Volkan; Atalay, Rengül (2003-01-01) This paper describes 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. Our approach for prediction is to find the most frequent motifs for each protein (class) based on clustering and then to use these most frequent motifs as features for classification. This approach allows a classification independent of the length of the sequence. ...
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Citation Formats

M. Ozarar, M. V. Atalay, and R. Atalay, “Prediction of protein subcellular localization based on primary sequence data,” presented at the IEEE 12th Signal Processing and Communications Applications Conference, Kusadasi, TURKEY, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30491.