A framework for protein and membrane interactions

We introduce the BioBeta Framework, a meta-model for both protein-level and membrane-level interactions of living cells. This formalism aims to provide a formal setting where to encode, compare and merge models at different abstraction levels; in particular, higher-level (e.g. membrane) activities c...

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Main Authors: Giorgio Bacci, Davide Grohmann, Marino Miculan
Format: Article
Language:English
Published: Open Publishing Association 2009-11-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/0911.4513v1
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spelling doaj-76be8e530d5745209b80435326dd4c692020-11-24T22:44:05ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802009-11-0111Proc. MeCBIC 2009193310.4204/EPTCS.11.2A framework for protein and membrane interactionsGiorgio BacciDavide GrohmannMarino MiculanWe introduce the BioBeta Framework, a meta-model for both protein-level and membrane-level interactions of living cells. This formalism aims to provide a formal setting where to encode, compare and merge models at different abstraction levels; in particular, higher-level (e.g. membrane) activities can be given a formal biological justification in terms of low-level (i.e., protein) interactions. A BioBeta specification provides a protein signature together a set of protein reactions, in the spirit of the kappa-calculus. Moreover, the specification describes when a protein configuration triggers one of the only two membrane interaction allowed, that is "pinch" and "fuse". In this paper we define the syntax and semantics of BioBeta, analyse its properties, give it an interpretation as biobigraphical reactive systems, and discuss its expressivity by comparing with kappa-calculus and modelling significant examples. Notably, BioBeta has been designed after a bigraphical metamodel for the same purposes. Hence, each instance of the calculus corresponds to a bigraphical reactive system, and vice versa (almost). Therefore, we can inherith the rich theory of bigraphs, such as the automatic construction of labelled transition systems and behavioural congruences. http://arxiv.org/pdf/0911.4513v1
collection DOAJ
language English
format Article
sources DOAJ
author Giorgio Bacci
Davide Grohmann
Marino Miculan
spellingShingle Giorgio Bacci
Davide Grohmann
Marino Miculan
A framework for protein and membrane interactions
Electronic Proceedings in Theoretical Computer Science
author_facet Giorgio Bacci
Davide Grohmann
Marino Miculan
author_sort Giorgio Bacci
title A framework for protein and membrane interactions
title_short A framework for protein and membrane interactions
title_full A framework for protein and membrane interactions
title_fullStr A framework for protein and membrane interactions
title_full_unstemmed A framework for protein and membrane interactions
title_sort framework for protein and membrane interactions
publisher Open Publishing Association
series Electronic Proceedings in Theoretical Computer Science
issn 2075-2180
publishDate 2009-11-01
description We introduce the BioBeta Framework, a meta-model for both protein-level and membrane-level interactions of living cells. This formalism aims to provide a formal setting where to encode, compare and merge models at different abstraction levels; in particular, higher-level (e.g. membrane) activities can be given a formal biological justification in terms of low-level (i.e., protein) interactions. A BioBeta specification provides a protein signature together a set of protein reactions, in the spirit of the kappa-calculus. Moreover, the specification describes when a protein configuration triggers one of the only two membrane interaction allowed, that is "pinch" and "fuse". In this paper we define the syntax and semantics of BioBeta, analyse its properties, give it an interpretation as biobigraphical reactive systems, and discuss its expressivity by comparing with kappa-calculus and modelling significant examples. Notably, BioBeta has been designed after a bigraphical metamodel for the same purposes. Hence, each instance of the calculus corresponds to a bigraphical reactive system, and vice versa (almost). Therefore, we can inherith the rich theory of bigraphs, such as the automatic construction of labelled transition systems and behavioural congruences.
url http://arxiv.org/pdf/0911.4513v1
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