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      • Department of Molecular Biology and Genetics
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      Prediction of protein subcellular localization based on primary sequence data

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      Author
      Özarar, M.
      Atalay, V.
      Çetin-Atalay, Rengül
      Date
      2004
      Source Title
      Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
      Publisher
      IEEE
      Pages
      118 - 120
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      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.
      Keywords
      Encoding scheme
      Four class problem
      Protein subcellular localization (P2SL)
      Substitution matrix
      Amino acids
      Cells
      Data reduction
      Matrix algebra
      Problem solving
      Self organizing maps
      Signal encoding
      Statistical methods
      Proteins
      Permalink
      http://hdl.handle.net/11693/27431
      Published Version (Please cite this version)
      https://doi.org/10.1109/SIU.2004.1338272
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      • Department of Molecular Biology and Genetics 426
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