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@book{933243,
author = {Burgetová, Ivana and Zendulka, Jaroslav and Lexa, Matej},
address = {Brno, CZ},
keywords = {Protein structure Protein Data Bank; clustering; density-based clustering; sequence-structure relationships in proteins; clustering of protein fragments; protein structure prediction; sequence-structures fragments search},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno, CZ},
isbn = {978-80-214-4207-8},
publisher = {Publishing house of Brno University of Technology VUTIUM},
title = {Clustering Techniques for Protein Fragments Analysis},
year = {2010}
}
TY - BOOK
ID - 933243
AU - Burgetová, Ivana - Zendulka, Jaroslav - Lexa, Matej
PY - 2010
TI - Clustering Techniques for Protein Fragments Analysis
VL - Neuveden
PB - Publishing house of Brno University of Technology VUTIUM
CY - Brno, CZ
SN - 9788021442078
KW - Protein structure Protein Data Bank
KW - clustering
KW - density-based clustering
KW - sequence-structure relationships in proteins
KW - clustering of protein fragments
KW - protein structure prediction
KW - sequence-structures fragments search
N2 - This book presents a novel method for clustering of protein substructures that we developed in order to study the relationships between protein sequences and their structure. We show some properties of this method and the experimental results obtained by analyzing real data from PDB (Protein Data Bank). Furthermore, we present the results of the comparison of our method and the most 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 propose 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.
ER -
BURGETOVÁ, Ivana, Jaroslav ZENDULKA and Matej LEXA. \textit{Clustering Techniques for Protein Fragments Analysis}. Brno, CZ: Publishing house of Brno University of Technology VUTIUM, 2010, 102 pp. ISBN~978-80-214-4207-8.
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