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Deducing Interactions in Partially Unspecified Biological Systems

  • Paolo Baldan
  • Andrea Bracciali
  • Linda Brodo
  • Roberto Bruni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4545)

Abstract

We show how a symbolic approach to the semantics of process algebras can be fruitfully applied to the modeling and analysis of partially unspecified biological systems, i.e., systems whose components are not fully known, cannot be described entirely, or whose functioning is not completely understood. This adds a novel deductive perspective to the use of process algebras within systems biology: the investigation of the behavioural or structural properties that unspecified components must satisfy to interact within the system. These can be computationally inferred, extending the effectiveness of the in silico experiments. The use of the approach is illustrated by means of case studies.

Keywords

Operational Semantic Process Algebra Symbolic Transition Virus Membrane Phage Virus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Paolo Baldan
    • 1
  • Andrea Bracciali
    • 2
  • Linda Brodo
    • 3
  • Roberto Bruni
    • 2
  1. 1.Dipartimento di Matematica Pura e Applicata, Università di PadovaItalia
  2. 2.Dipartimento di Informatica, Università di PisaItalia
  3. 3.Dipartimento di Scienze dei Linguaggi, Università di SassariItalia

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