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

  • Sangwoo Kim
  • Hojung NamEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10330)

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.

Keywords

Network simulation Expert system Production system 

Notes

Acknowledgement

This work was supported by the Bio-Synergy Research Project (NRF-2014M3A9C4066449) of the Ministry of Science, ICT and Future Planning through the National Research Foundation.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Severance Biomedical Science InstituteYonsei University College of MedicineSeoulSouth Korea
  2. 2.School of Electrical Engineering and Computer ScienceGwangju Institute of Science and TechnologyGwangjuSouth Korea

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