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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 to prove the existence of protein sequences that occur in more than one structural conformation but the number of its structural conformations is limited. 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 to prove the existence of protein sequences that occur in more than one structural conformation but the number of its structural conformations is limited. (en)
Title	Combined Density- and Grid- Based Method for Clustering of Protein Substructures Combined Density- and Grid- Based Method for Clustering of Protein Substructures (en)
skos:prefLabel	Combined Density- and Grid- Based Method for Clustering of Protein Substructures Combined Density- and Grid- Based Method for Clustering of Protein Substructures (en)
skos:notation	RIV/00216305:26230/09:PU82584!RIV10-MSM-26230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Burgetová, Ivana
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	307541
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/09:PU82584
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Cluster analysis, data mining, PDB, sequence-structure fragments, protein structure prediction (en)
http://linked.open.../riv/klicoveSlovo	PDB Cluster analysis data mining protein structure prediction sequence-structure fragments
http://linked.open...ontrolniKodProRIV	[76E43BC266FF]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	ZNALOSTI 2009, Proceedings of the 8th annual conference
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Rudolfová, Ivana
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2009-02-04 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Slovenská technická univerzita v Bratislave. Vydavateľstvo STU
https://schema.org/isbn	978-80-227-3015-0
http://localhost/t...ganizacniJednotka	26230

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