Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways
(2010) In Lecture Notes in Computer Science 6266. p.186-200- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4017420
- author
- Zambach, Sine and Hansen, Jens Ulrik LU
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- formal relations semantic analysis biomedical ontologies knowledge representation knowledge discovery applied logic formal ontologies
- in
- Lecture Notes in Computer Science
- volume
- 6266
- pages
- 186 - 200
- publisher
- Springer
- external identifiers
-
- scopus:78049483629
- ISSN
- 1611-3349
- DOI
- 10.1007/978-3-642-15020-3_17
- language
- English
- LU publication?
- no
- id
- 78c4711a-1a2b-4ed8-a493-976ba13801a9 (old id 4017420)
- date added to LUP
- 2016-04-04 11:05:31
- date last changed
- 2022-01-29 21:20:10
@article{78c4711a-1a2b-4ed8-a493-976ba13801a9, 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.<br/><br> <br/><br> 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.}}, author = {{Zambach, Sine and Hansen, Jens Ulrik}}, issn = {{1611-3349}}, keywords = {{formal relations semantic analysis biomedical ontologies knowledge representation knowledge discovery applied logic formal ontologies}}, language = {{eng}}, pages = {{186--200}}, publisher = {{Springer}}, series = {{Lecture Notes in Computer Science}}, title = {{Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways}}, url = {{http://dx.doi.org/10.1007/978-3-642-15020-3_17}}, doi = {{10.1007/978-3-642-15020-3_17}}, volume = {{6266}}, year = {{2010}}, }