Přístupnostní navigace
E-application
Search Search Close
Publication detail
BURGETOVÁ, I.
Original Title
Combined Density- and Grid- Based Method for Clustering of Protein Substructures
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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.
Keywords
Cluster analysis, data mining, PDB, sequence-structure fragments, protein structure prediction
Authors
RIV year
2009
Released
4. 2. 2009
Publisher
Vydavateľstvo STU
Location
Brno
ISBN
978-80-227-3015-0
Book
ZNALOSTI 2009, Proceedings of the 8th annual conference
Pages from
201
Pages to
212
Pages count
12
BibTex
@inproceedings{BUT30201, author="Ivana {Burgetová}", title="Combined Density- and Grid- Based Method for Clustering of Protein Substructures", booktitle="ZNALOSTI 2009, Proceedings of the 8th annual conference", year="2009", pages="201--212", publisher="Vydavateľstvo STU", address="Brno", isbn="978-80-227-3015-0" }