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In Silico Simulation of Signal Cascades in Biomedical Networks Based on the Production Rule System

Authors
 Sangwoo Kim  ;  Ho Jung nam 
Citation
 Lecture Notes in Computer Science, Vol.10330 : 356-361, 2017 
Journal Title
 Lecture Notes in Computer Science 
ISSN
 0302-9743 
Issue Date
2017
Keywords
Network simulation ; Expert system ; Production system
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 knowledgebase. 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.
Full Text
https://link.springer.com/chapter/10.1007/978-3-319-59575-7_34
DOI
10.1007/978-3-319-59575-7_34
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
Yonsei Authors
Kim, Sangwoo(김상우) ORCID logo https://orcid.org/0000-0001-5356-0827
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/161021
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