Clustering of Protein Substructures for Discovery of a Novel
Class of Sequence-Structure Fragments

D 2010

Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments

RUDOLFOVÁ, Ivana, Jaroslav ZENDULKA a Matej LEXA

Základní údaje

Originální název

Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments

Název česky

Shlukování proteinových substruktur pro nalezení nových sekvenčně-strukturních fragmentů

Autoři

RUDOLFOVÁ, Ivana (203 Česká republika, garant), Jaroslav ZENDULKA (203 Česká republika) a Matej LEXA (703 Slovensko, domácí)

Vydání

Heidelberg, DE, ITBAM 2010 (Information Technology in Bio- and Medical Informatics), LNCS 6266, od s. 94-101, 8 s. 2010

Nakladatel

Springer Verlag

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/10:00067213

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-15019-7

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-15020-3_9

UT WoS

000286166000009

Klíčová slova anglicky

Clustering; density-based clustering; clustering of protein substructures; sequence-structure relationships in proteins

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 30. 4. 2014 04:25, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

In this paper, we propose a novel method for clustering of protein substructures that we developed to study the relationships between protein sequences and their corresponding structures. We show the basic properties of the new method and the results of the comparison to other 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 outline 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.

Návaznosti

MSM0021622419, záměr

Název: Vysoce paralelní a distribuované výpočetní systémy

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Vysoce paralelní a distribuované výpočetní systémy

Citovat

RUDOLFOVÁ, Ivana, Jaroslav ZENDULKA a Matej LEXA. Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments. In ITBAM 2010 (Information Technology in Bio- and Medical Informatics), LNCS 6266. Heidelberg, DE: Springer Verlag, 2010, s. 94-101. ISBN 978-3-642-15019-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-15020-3_9.

@inproceedings{899211,
   author = {Rudolfová, Ivana and Zendulka, Jaroslav and Lexa, Matej},
   address = {Heidelberg, DE},
   booktitle = {ITBAM 2010 (Information Technology in Bio- and Medical Informatics), LNCS 6266},
   doi = {http://dx.doi.org/10.1007/978-3-642-15020-3_9},
   keywords = {Clustering; density-based clustering; clustering of protein substructures; sequence-structure relationships in proteins},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Heidelberg, DE},
   isbn = {978-3-642-15019-7},
   pages = {94-101},
   publisher = {Springer Verlag},
   title = {Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments},
   year = {2010}
}

TY  - JOUR
ID  - 899211
AU  - Rudolfová, Ivana - Zendulka, Jaroslav - Lexa, Matej
PY  - 2010
TI  - Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments
PB  - Springer Verlag
CY  - Heidelberg, DE
SN  - 9783642150197
KW  - Clustering
KW  - density-based clustering
KW  - clustering of protein substructures
KW  - sequence-structure relationships in proteins
N2  - In this paper, we propose a novel method for clustering of protein substructures that we developed to study the relationships between protein sequences and their corresponding structures. We show the basic properties of the new method and the results of the comparison to other 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 outline 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  -

RUDOLFOVÁ, Ivana, Jaroslav ZENDULKA a Matej LEXA. Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments. In \textit{ITBAM 2010 (Information Technology in Bio- and Medical Informatics), LNCS 6266}. Heidelberg, DE: Springer Verlag, 2010, s.~94-101. ISBN~978-3-642-15019-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-15020-3\_{}9.

Podrobný výpis o publikaci