Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids

  • Witold R. Rudnicki
  • Jan Komorowski
Conference paper

DOI: 10.1007/978-3-540-25929-9_100

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)
Cite this paper as:
Rudnicki W.R., Komorowski J. (2004) Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids. In: Tsumoto S., Słowiński R., Komorowski J., Grzymała-Busse J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science, vol 3066. Springer, Berlin, Heidelberg

Abstract

Amino acid similarity matrices are used for protein sequence comparison. It has been shown previously that they can be reconstructed from equivalence classes between amino acids. The goal of the current study is to propose an algorithm for identification of the properties that generate these equivalence classes. An approximate reasoning method for feature extraction and synthesis is developed to this end. It is shown that these equivalence classes are related with the amino acid properties that are important for the formation of the protein structure. The algorithm presented in this study works best for bit-patterns, which are frequently encountered in bit-vector representations.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Witold R. Rudnicki
    • 1
  • Jan Komorowski
    • 2
  1. 1.Interdisciplinary Centre for Mathematical and Computational ModellingWarsaw UniversityWarsawPoland
  2. 2.The Linnaeus Centre for BioinformaticsUppsala University, BMCUppsalaSweden

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