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Clustering of protein domains for functional and evolutionary studies
Authors:Pavle Goldstein   Jurica Zucko   Du?ica Vujaklija   Anita Kri?ko   Daslav Hranueli   Paul F Long   Catherine Etchebest   Bojan Basrak  John Cullum
Affiliation:(1) Department of Mathematics, University of Zagreb, Bijenicka 30, 10000 Zagreb, Croatia;(2) Department of Genetics, University of Kaiserslautern, Postfach 3049, 67653 Kaiserslautern, Germany;(3) Department of Molecular Biology, Rudjer Boskovic Institute, Bijenicka 54, 10000 Zagreb, Croatia;(4) Mediterranean Institute for Life Sciences, Mestrovicevo setaliste bb, 21000 Split, Croatia;(5) Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, 10000 Zagreb, Croatia;(6) The School of Pharmacy, University of London, 29/39 Brunswick Square, London, WC1N 1AX, UK;(7) INSERM U- 571, Facult? de M?decine, Universit? Paris V, 156 rue de Vaugirard, 75730 Paris, Cedex 15, France;(8) Equipe de Bioinformatique G?nomique et Mol?culaire, INSERM U-726, Universit? Denis Diderot - Paris 7, 2 place Jussieu, 75251 Paris, Cedex 05, France
Abstract:

Background  

The number of protein family members defined by DNA sequencing is usually much larger than those characterised experimentally. This paper describes a method to divide protein families into subtypes purely on sequence criteria. Comparison with experimental data allows an independent test of the quality of the clustering.
Keywords:
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