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International Conference on Computer Aided Verification

CAV 2012: Computer Aided Verification pp 2Cite as

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Model Checking Cell Biology

Model Checking Cell Biology

  • David L. Dill18 
  • Conference paper
  • 3525 Accesses

  • 2 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7358)

Abstract

Mathematical models of real biological systems have predominantly been deterministic or stochastic continuous models. However, there are reasons to believe that at least some processes can be modeled in a “digital” way. Once we do that, we enter the domain of concurrent and reactive systems, where model checking has been an important tool. Perhaps techniques from the verification community could lead to insights about the systems principles that allow biological systems using very low energy (and high noise) components to function dynamic environments.

I will explore some past and future research directions in this area, as well as some of the non-computational challenges that arise in this kind of research.

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Authors and Affiliations

  1. Stanford University, USA

    David L. Dill

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  1. David L. Dill
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Editors and Affiliations

  1. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 3226 Siebel Center, 201 N. Goodwin Avenue, 61801-2302, Urbana, IL, USA

    P. Madhusudan

  2. Dept. of Electrical Engineering and Computer Science, University of California, Berkeley, 253 Cory Hall # 1770, 94720-1770, Berkeley, CA, USA

    Sanjit A. Seshia

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© 2012 Springer-Verlag Berlin Heidelberg

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Dill, D.L. (2012). Model Checking Cell Biology. In: Madhusudan, P., Seshia, S.A. (eds) Computer Aided Verification. CAV 2012. Lecture Notes in Computer Science, vol 7358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31424-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-31424-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31423-0

  • Online ISBN: 978-3-642-31424-7

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