Publication detail

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

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

BURGETOVÁ, I.

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"
}