Publication details

Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments



Year of publication 2010
Type Article in Proceedings
Conference ITBAM 2010 (Information Technology in Bio- and Medical Informatics), LNCS 6266
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords Clustering; density-based clustering; clustering of protein substructures; sequence-structure relationships in proteins
Description In this paper, we propose a novel method for clustering of protein substructures that we developed to study the relationships between protein sequences and their corresponding structures. We show the basic properties of the new method and the results of the comparison to other commonly used methods for clustering of protein structures. The main advantage of our method is its high efficiency and scalability, which are key factors for analyzing large data sets. Finally, we outline a procedure for finding sequence profiles that tend to occur in more than one structural conformation but the number of their structural conformations is limited. This procedure is based on our method for protein substructure clustering.
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