2009 IEEE International Conference on Bioinformatics and Biomedicine Modeling Protein Interaction Networks with Answer Set Programming Washington, D.C., USA November 01-November 04 ISBN: 978-0-7695-3885-3
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBM.2009.9
In this paper we propose the use of answer set programming (ASP) to model protein interaction networks. We argue that this declarative formalism rivals the popular boolean networks in terms of ease of use, while at the same time being more expressive. As we demonstrate for the particularcase of a fission yeast network, all information present in a boolean network, as well as relevant background assumptions,can be expressed explicitly in an answer set program. Moreover, readily available answer set solvers can then be used to find the stable states of the network.
Index Terms:
Biological system modeling, Logic, Artificial intelligence
Citation:
Timur Fayruzov, Martine De Cock, Chris Cornelis, Dirk Vermeir, "Modeling Protein Interaction Networks with Answer Set Programming," bibm, pp.99-104, 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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