Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways

Sine Zambach; Jens Ulrik Hansen

doi:10.1007/978-3-642-15020-3_17

Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways

Sine Zambach, Jens Ulrik Hansen

Roskilde Universitet

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Abstract

Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller parts of a pathway.
In this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss the usage of these relations in biology and in articial intelligence for hypothesis development in drug discovery.

Originalsprog	Engelsk
Titel	Information Technology in Bio- and Medical Informatics, ITBAM 2010 : First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings
Redaktører	Sami Khuri, Lenka Lhotská, Nadia Pisanti
Antal sider	14
Udgivelsessted	Berlin
Forlag	Springer
Publikationsdato	2010
Sider	186-200
ISBN (Trykt)	978364150197, 3642150195
ISBN (Elektronisk)	9783642150203
DOI	https://doi.org/10.1007/978-3-642-15020-3_17
Status	Udgivet - 2010
Udgivet eksternt	Ja
Begivenhed	1st International Conference on Information Technology in Bio- and Medical Informatics 2010 - Bilbao, Spanien Varighed: 30 aug. 2010 → 3 sep. 2010 Konferencens nummer: 1

Konference

Konference	1st International Conference on Information Technology in Bio- and Medical Informatics 2010
Nummer	1
Land/Område	Spanien
By	Bilbao
Periode	30/08/2010 → 03/09/2010

Navn	Lecture Notes in Computer Science
Vol/bind	6266
ISSN	0302-9743

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Citationsformater

Zambach, S., & Hansen, J. U. (2010). Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways. I S. Khuri, L. Lhotská, & N. Pisanti (red.), Information Technology in Bio- and Medical Informatics, ITBAM 2010: First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings (s. 186-200). Springer. https://doi.org/10.1007/978-3-642-15020-3_17

Zambach, Sine ; Hansen, Jens Ulrik. / Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways. Information Technology in Bio- and Medical Informatics, ITBAM 2010: First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings. red. / Sami Khuri ; Lenka Lhotská ; Nadia Pisanti. Berlin : Springer, 2010. s. 186-200 (Lecture Notes in Computer Science, Bind 6266).

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title = "Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways",

abstract = "Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller parts of a pathway.In this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss the usage of these relations in biology and in articial intelligence for hypothesis development in drug discovery.",

author = "Sine Zambach and Hansen, {Jens Ulrik}",

year = "2010",

doi = "10.1007/978-3-642-15020-3_17",

language = "English",

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series = "Lecture Notes in Computer Science",

publisher = "Springer",

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editor = "Sami Khuri and Lenka Lhotsk{\'a} and Nadia Pisanti",

booktitle = "Information Technology in Bio- and Medical Informatics, ITBAM 2010",

address = "Germany",

note = "1st International Conference on Information Technology in Bio- and Medical Informatics 2010 ; Conference date: 30-08-2010 Through 03-09-2010",

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Zambach, S & Hansen, JU 2010, Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways. i S Khuri, L Lhotská & N Pisanti (red), Information Technology in Bio- and Medical Informatics, ITBAM 2010: First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings. Springer, Berlin, Lecture Notes in Computer Science, bind 6266, s. 186-200, 1st International Conference on Information Technology in Bio- and Medical Informatics 2010, Bilbao, Spanien, 30/08/2010. https://doi.org/10.1007/978-3-642-15020-3_17

Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways. / Zambach, Sine; Hansen, Jens Ulrik.
Information Technology in Bio- and Medical Informatics, ITBAM 2010: First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings. red. / Sami Khuri; Lenka Lhotská; Nadia Pisanti. Berlin: Springer, 2010. s. 186-200 (Lecture Notes in Computer Science, Bind 6266).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways

AU - Zambach, Sine

AU - Hansen, Jens Ulrik

N1 - Conference code: 1

PY - 2010

Y1 - 2010

N2 - Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller parts of a pathway.In this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss the usage of these relations in biology and in articial intelligence for hypothesis development in drug discovery.

AB - Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller parts of a pathway.In this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss the usage of these relations in biology and in articial intelligence for hypothesis development in drug discovery.

U2 - 10.1007/978-3-642-15020-3_17

DO - 10.1007/978-3-642-15020-3_17

M3 - Article in proceedings

SN - 978364150197

SN - 3642150195

T3 - Lecture Notes in Computer Science

SP - 186

EP - 200

BT - Information Technology in Bio- and Medical Informatics, ITBAM 2010

A2 - Khuri, Sami

A2 - Lhotská, Lenka

A2 - Pisanti, Nadia

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CY - Berlin

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Zambach S, Hansen JU. Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways. I Khuri S, Lhotská L, Pisanti N, red., Information Technology in Bio- and Medical Informatics, ITBAM 2010: First International Conference, Bilbao, Spain, September 1-2, 2010. Proceedings. Berlin: Springer. 2010. s. 186-200. (Lecture Notes in Computer Science, Bind 6266). doi: 10.1007/978-3-642-15020-3_17