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Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways

  • Conference paper
Information Technology in Bio- and Medical Informatics, ITBAM 2010 (ITBAM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6266))

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 sections of a pathway.

As an alternative, 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 artificial intelligence for hypothesis development in drug discovery.

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Author information

Authors and Affiliations

  1. Computer Science, Roskilde University, Universitetsvej 1, DK-4000, Roskilde, Denmark

    Sine Zambach & Jens Ulrik Hansen

  2. Philosophy, Roskilde University, Universitetsvej 1, DK-4000, Roskilde, Denmark

    Jens Ulrik Hansen

Authors
  1. Sine Zambach
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  2. Jens Ulrik Hansen
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Editor information

Editors and Affiliations

  1. Department of Computer Science, San José State University, One Washington Square, 95192-0249, San José, CA, U.S.A.

    Sami Khuri

  2. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic

    Lenka Lhotská

  3. Dipartimento di Informatica, University of Pisa, Largo, Pontecorvo 3, 56127, Pisa, Italy

    Nadia Pisanti

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Zambach, S., Hansen, J.U. (2010). Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways. In: Khuri, S., Lhotská, L., Pisanti, N. (eds) Information Technology in Bio- and Medical Informatics, ITBAM 2010. ITBAM 2010. Lecture Notes in Computer Science, vol 6266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15020-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-15020-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15019-7

  • Online ISBN: 978-3-642-15020-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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