In this paper we show how to model biochemical reactions in Concurrent Constraint Programming (CCP) taking into account space and locality. In fact, in many cases, the distribution of the reactants in the cellular space is critical for the correct dynamics of the reactions. Thus, we propose a modelling framework which allows us to take into account space domains. Resorting on our approach, it is possible to de- scribe accurately biochemical processes without abstracting away from features related to the spatial localisation. In order to describe locality in CCP, we add subexponentials, a concept coming from linear logic, to the constraint system and then, we can model declaratively when a certain reaction occurs within one location of the space domain. Clearly we can also express interactions between agents, taking place either in different spaces or in the same space. Metabolic pathways and, in par- ticular, signalling pathways tend to be arranged in a physical space such that the product of one reaction is in the right place to become the re- actant for the subsequent reaction in the pathway. Following this idea, we show through a simple case study how we can model a signalling cascade. Then, we exploit our framework to model a more complex sig- nalling pathway, namely the TWEAK (TNF related Weak inducer of apoptosis), whose misfunctioning has implications in several important diseases.

Chiarugi, D., Falaschi, M., HERMITH RAMIREZ, D.P., Olarte, C. (2014). A framework for modelling spatially dependent interactions of biological systems in CCP.. In PROCEEDINGS IWBBIO 2014: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (pp.912-923). Granada : COPICENTRO GRANADA.

A framework for modelling spatially dependent interactions of biological systems in CCP.

FALASCHI, MORENO;
2014-01-01

Abstract

In this paper we show how to model biochemical reactions in Concurrent Constraint Programming (CCP) taking into account space and locality. In fact, in many cases, the distribution of the reactants in the cellular space is critical for the correct dynamics of the reactions. Thus, we propose a modelling framework which allows us to take into account space domains. Resorting on our approach, it is possible to de- scribe accurately biochemical processes without abstracting away from features related to the spatial localisation. In order to describe locality in CCP, we add subexponentials, a concept coming from linear logic, to the constraint system and then, we can model declaratively when a certain reaction occurs within one location of the space domain. Clearly we can also express interactions between agents, taking place either in different spaces or in the same space. Metabolic pathways and, in par- ticular, signalling pathways tend to be arranged in a physical space such that the product of one reaction is in the right place to become the re- actant for the subsequent reaction in the pathway. Following this idea, we show through a simple case study how we can model a signalling cascade. Then, we exploit our framework to model a more complex sig- nalling pathway, namely the TWEAK (TNF related Weak inducer of apoptosis), whose misfunctioning has implications in several important diseases.
2014
9788415814849
Chiarugi, D., Falaschi, M., HERMITH RAMIREZ, D.P., Olarte, C. (2014). A framework for modelling spatially dependent interactions of biological systems in CCP.. In PROCEEDINGS IWBBIO 2014: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (pp.912-923). Granada : COPICENTRO GRANADA.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/47001