The aim of this work is twofold. First, we propose an high level textual modelling language, which is meant to be biologically intuitive and hence easily usable by life scientists in modelling intra-cellular systems. Secondly, we provide an automatic translation of the proposed language into Beta-binders, a bio-inspired process calculus, which allows life scientists to formally analyse and simulate their models. We use the Gp130 signalling pathway as a case study. This is the preliminary version of a paper that was published in Proceedings of CMSB07, LNBI 4695, 136-151, 2007. The original publication is available at http://www.springerlink.com/content/vt23126776012835/

An Automated Translation from a Narrative Language for Biological Modelling into Process Algebra / Heath, John; Priami, Corrado; Guerriero, Maria Luisa. - ELETTRONICO. - (2007), pp. 1-16.

An Automated Translation from a Narrative Language for Biological Modelling into Process Algebra

Priami, Corrado;Guerriero, Maria Luisa
2007-01-01

Abstract

The aim of this work is twofold. First, we propose an high level textual modelling language, which is meant to be biologically intuitive and hence easily usable by life scientists in modelling intra-cellular systems. Secondly, we provide an automatic translation of the proposed language into Beta-binders, a bio-inspired process calculus, which allows life scientists to formally analyse and simulate their models. We use the Gp130 signalling pathway as a case study. This is the preliminary version of a paper that was published in Proceedings of CMSB07, LNBI 4695, 136-151, 2007. The original publication is available at http://www.springerlink.com/content/vt23126776012835/
2007
Trento
The Microsoft Research - University of Trento Centre for Computational and Systems Biology
An Automated Translation from a Narrative Language for Biological Modelling into Process Algebra / Heath, John; Priami, Corrado; Guerriero, Maria Luisa. - ELETTRONICO. - (2007), pp. 1-16.
Heath, John; Priami, Corrado; Guerriero, Maria Luisa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/358941
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