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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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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
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Graduate School of Informatics, Conference / Seminar
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Prediction of protein subcellular localization based on primary sequence data
Özarar, Mert; Atalay, Mehmet Volkan; Department of Computer Engineering (2003)
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...
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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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.