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Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 pp 377–384Cite as

Petri Net Modeling and Analysis Based on Gene Logic Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

Abstract

Petri net has recently emerged as a promising tool for the modeling and analysis of molecular networks. In this research, gene logic network constructed by approach-logic analysis of phylogenetic profiles method is described. In order to depict the logic interactions between genes, a new Petri net formalism with augmented inhibitor arc is proposed, which is called ALTPN. Two different types of places and different transitions are formulated in ALTPN, and then corresponding firing rule is given. Further, ALTPN of all 1-order and 2-order gene logic types are listed. Finally reachability graph method is used to accomplish asynchronous dynamic analysis of gene logic interactions in colon cancer and some conclusions are drawn.

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Acknowledgments

The authors would like to thank National Natural Science Foundation of China (Nos: 60874036, 60503002, 10971122), SDUST Research Fund of China (No. 2010KYJQ104) for the support to this work.

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Authors and Affiliations

  1. College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, 266510, Shandong, China

    Yulin Zhang, Shudong Wang, Hongyue Wu & Yan Yi

Authors
  1. Yulin Zhang
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  2. Shudong Wang
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  3. Hongyue Wu
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  4. Yan Yi
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Corresponding author

Correspondence to Shudong Wang .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Wang, S., Wu, H., Yi, Y. (2013). Petri Net Modeling and Analysis Based on Gene Logic Network. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_46

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  • DOI: https://doi.org/10.1007/978-3-642-37502-6_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

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