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An Optimized Distance Function for Comparison of Protein Binding Sites

  • Gábor Iván
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4643)

Abstract

An important field of application of string processing algorithms is the comparison of protein or nucleotide sequences. In this paper we present an algorithm capable of determining the dissimilarity (distance) of protein sequences originating from protein binding sites found in the RS-PDB database that is a repaired and cleaned version of the publicly available Protein Data Bank (PDB). The special way of construction of these protein sequences enabled us to optimize the algorithm, achieving runtimes several times faster than the unoptimized approach. One example the algorithm proposed in this paper can be useful for is searching conserved sequences in protein chains.

Keywords

Protein Data Bank Protein Binding Site Substitution Matrice Protein Data Bank Entry Structure Protein Data Bank 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gábor Iván
    • 1
  1. 1.Department of Computer Science, Eötvös University, Pázmány Péter stny. 1/C, H-1117 BudapestHungary

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