GIST Scholar
College of Artificial Intelligence
Department of Electrical Engineering and Computer Science
2. Conference Papers
In silico simulation of signal cascades in biomedical networks based on the production rule system
- Type
- Conference Paper
- Citation
- 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017, pp.356 - 361
- Issued Date
- 2017-05-29
- Abstract
- Inferring novel findings from known biological knowledge is one of the ultimate goals in systems biology. However, the observation of system-level responses to a given perturbation has not been thoroughly explored due to the lack of proper large-scale inference models. We developed a novel expert system that can be applied to conventional biological networks based on the production rule system which works by transforming networks into a knowl-edgebase. Testing on large-scale multi-level biomedical networks confirmed the applicability of our system and revealed that hundreds of molecules are affected by the cascades of given signals, thereby activating or repressing key pathways in a cell.
- Publisher
- Springer Verlag
- Conference Place
- US
Honolulu
- Appears in Collections:
- Department of Electrical Engineering and Computer Science > 2. Conference Papers
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