Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system

Alina Momot; Bozena Małysiak-Mrozek; Stanisław Kozielski; Dariusz Mrozek; Łukasz Hera; Sylwia Górczyńska-Kosiorz; Michał Momot

doi:10.1007/978-3-642-16693-8_34

Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system

Alina Momot
, Bozena Małysiak-Mrozek
, Stanisław Kozielski
, Dariusz Mrozek
, Łukasz Hera
, Sylwia Górczyńska-Kosiorz
, Michał Momot

Silesian University of Technology
Medical University of Silesia in Katowice
Institute of Medical Technology and Equipment

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

13 Cytowania z bazy Scopus

Abstrakt

Since protein structure similarity searching is very complex and time-consuming, one of the possible acceleration methods is parallelization by distributing the calculation on multiple computers. In the paper, we present a theoretical model of the hierarchical multi-agent system dedicated to the task of protein structure similarity searching. We also show results of several numerical experiments confirming a suitability of such distribution for the similarity searching performed for the Muconate Lactonizing Enzyme (PDB ID = 1MUC) from the Protein Data Bank (PDB) against the database containing almost thousand randomly chosen molecules.

Język oryginału	angielski
Tytuł publikacji goszczącej	Computational Collective Intelligence
Podtytuł publikacji goszczącej	Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings
Strony	320-329
Liczba stron	10
Edycja	PART 1
Identyfikatory DOI	https://doi.org/10.1007/978-3-642-16693-8_34
Status publikacji	Opublikowano - 2010
Wydarzenie	2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 - Kaohsiung, Tajwan, Prowincja Chin Czas trwania: 10 lis 2010 → 12 lis 2010

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Numer	PART 1
Tom	6421 LNAI
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010
Kraj/Terytorium	Tajwan, Prowincja Chin
Miejscowość	Kaohsiung
Okres	10/11/10 → 12/11/10

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-642-16693-8_34

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Link do publikacji w Scopus

Cytowanie

Momot, A., Małysiak-Mrozek, B., Kozielski, S., Mrozek, D., Hera, Ł., Górczyńska-Kosiorz, S., & Momot, M. (2010). Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system. W Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings (PART 1 red., str. 320-329). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 6421 LNAI, Nr PART 1). https://doi.org/10.1007/978-3-642-16693-8_34

Momot, Alina ; Małysiak-Mrozek, Bozena ; Kozielski, Stanisław i in. / Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system. Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 1. red. 2010. str. 320-329 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{91c30b655f324bcc8d2653523f2da79d,

title = "Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system",

abstract = "Since protein structure similarity searching is very complex and time-consuming, one of the possible acceleration methods is parallelization by distributing the calculation on multiple computers. In the paper, we present a theoretical model of the hierarchical multi-agent system dedicated to the task of protein structure similarity searching. We also show results of several numerical experiments confirming a suitability of such distribution for the similarity searching performed for the Muconate Lactonizing Enzyme (PDB ID = 1MUC) from the Protein Data Bank (PDB) against the database containing almost thousand randomly chosen molecules.",

keywords = "Distributed computing, Multi-agent system, Protein structure, Proteins, Similarity searching",

author = "Alina Momot and Bozena Ma{\l}ysiak-Mrozek and Stanis{\l}aw Kozielski and Dariusz Mrozek and {\L}ukasz Hera and Sylwia G{\'o}rczy{\'n}ska-Kosiorz and Micha{\l} Momot",

year = "2010",

doi = "10.1007/978-3-642-16693-8\_34",

language = "English",

isbn = "364216692X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 1",

pages = "320--329",

booktitle = "Computational Collective Intelligence",

edition = "PART 1",

note = "2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 ; Conference date: 10-11-2010 Through 12-11-2010",

}

Momot, A , Małysiak-Mrozek, B, Kozielski, S, Mrozek, D, Hera, Ł, Górczyńska-Kosiorz, S & Momot, M 2010, Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system. w Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 1 wyd., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), nr PART 1, tom 6421 LNAI, str. 320-329, 2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010, Kaohsiung, Tajwan, Prowincja Chin, 10/11/10. https://doi.org/10.1007/978-3-642-16693-8_34

Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system. / Momot, Alina ; Małysiak-Mrozek, Bozena; Kozielski, Stanisław i in.
Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 1. red. 2010. str. 320-329 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 6421 LNAI, Nr PART 1).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system

AU - Momot, Alina

AU - Małysiak-Mrozek, Bozena

AU - Kozielski, Stanisław

AU - Mrozek, Dariusz

AU - Hera, Łukasz

AU - Górczyńska-Kosiorz, Sylwia

AU - Momot, Michał

PY - 2010

Y1 - 2010

N2 - Since protein structure similarity searching is very complex and time-consuming, one of the possible acceleration methods is parallelization by distributing the calculation on multiple computers. In the paper, we present a theoretical model of the hierarchical multi-agent system dedicated to the task of protein structure similarity searching. We also show results of several numerical experiments confirming a suitability of such distribution for the similarity searching performed for the Muconate Lactonizing Enzyme (PDB ID = 1MUC) from the Protein Data Bank (PDB) against the database containing almost thousand randomly chosen molecules.

AB - Since protein structure similarity searching is very complex and time-consuming, one of the possible acceleration methods is parallelization by distributing the calculation on multiple computers. In the paper, we present a theoretical model of the hierarchical multi-agent system dedicated to the task of protein structure similarity searching. We also show results of several numerical experiments confirming a suitability of such distribution for the similarity searching performed for the Muconate Lactonizing Enzyme (PDB ID = 1MUC) from the Protein Data Bank (PDB) against the database containing almost thousand randomly chosen molecules.

KW - Distributed computing

KW - Multi-agent system

KW - Protein structure

KW - Proteins

KW - Similarity searching

UR - https://www.scopus.com/pages/publications/78649502669

U2 - 10.1007/978-3-642-16693-8_34

DO - 10.1007/978-3-642-16693-8_34

M3 - Conference contribution

AN - SCOPUS:78649502669

SN - 364216692X

SN - 9783642166921

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 320

EP - 329

BT - Computational Collective Intelligence

T2 - 2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010

Y2 - 10 November 2010 through 12 November 2010

ER -

Momot A , Małysiak-Mrozek B, Kozielski S, Mrozek D, Hera Ł, Górczyńska-Kosiorz S i in. Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system. W Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 1 red. 2010. str. 320-329. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-16693-8_34

Improving performance of protein structure similarity searching by distributing computations in hierarchical multi-agent system

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

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