MFPS '92 Selected papers of the meeting on Mathematical foundations of programming semantics
Anytime, anywhere: modal logics for mobile ambients
Proceedings of the 27th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Information and Computation - Special issue on EXPRESS 1997
Theoretical Computer Science
Proof, language, and interaction
Information Processing Letters
AMAST '02 Proceedings of the 9th International Conference on Algebraic Methodology and Software Technology
A Logical Encoding of the pi-Calculus: Model Checking Mobile Processes Using Tabled Resolution
VMCAI 2003 Proceedings of the 4th International Conference on Verification, Model Checking, and Abstract Interpretation
Pathway Logic Modeling of Protein Functional Domains in Signal Transduction
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Theoretical Computer Science - Special issue: Computational systems biology
BioAmbients: an abstraction for biological compartments
Theoretical Computer Science - Special issue: Computational systems biology
Modal logics for brane calculus
CMSB'06 Proceedings of the 2006 international conference on Computational Methods in Systems Biology
Machine learning biochemical networks from temporal logic properties
Transactions on Computational Systems Biology VI
Symbolic equivalences for open systems
GC'04 Proceedings of the 2004 IST/FET international conference on Global Computing
Beta binders for biological interactions
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
Transactions on Computational Systems Biology VII
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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.