Combined Density- and Grid- Based Method for Clustering of Protein Substructures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82584" target="_blank" >RIV/00216305:26230/09:PU82584 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Combined Density- and Grid- Based Method for Clustering of Protein Substructures
Original language description
Data mining techniques may reveal interesting knowledge in various datasets. The biological databases are enormously large and therefore, data mining techniques could be extremely helpful to extract the knowledge from them. In our study, we focused on data mining in PDB - Protein Data Bank. We used cluster analysis to identify the sequences that occur in limited number of structural conformations (sequence-structure fragments). This knowledge about protein fragments can be used in protein structure predictions. In this paper, we present a combined density- and grid-based method that we developed for clustering of protein structures. We also compare this method with a simple density-based clustering method that we used in the first part of our study toprove the existence of protein sequences that occur in more than one structural conformation but the number of its structural conformations is limited.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ZNALOSTI 2009, Proceedings of the 8th annual conference
ISBN
978-80-227-3015-0
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
Vydavateľstvo STU
Place of publication
Brno
Event location
Brno
Event date
Feb 4, 2009
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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