Document Detail


Modelling metapopulations with stochastic membrane systems.
MedLine Citation:
PMID:  17904729     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Metapopulations, or multi-patch systems, are models describing the interactions and the behavior of populations living in fragmented habitats. Dispersal, persistence and extinction are some of the characteristics of interest in ecological studies of metapopulations. In this paper, we propose a novel method to analyze metapopulations, which is based on a discrete and stochastic modelling framework in the area of Membrane Computing. New structural features of membrane systems, necessary to appropriately describe a multi-patch system, are introduced, such as the reduction of the maximal parallel consumption of objects, the spatial arrangement of membranes and the stochastic creation of objects. The role of the additional features, their meaning for a metapopulation model and the emergence of relevant behaviors are then investigated by means of stochastic simulations. Conclusive remarks and ideas for future research are finally presented.
Authors:
Daniela Besozzi; Paolo Cazzaniga; Dario Pescini; Giancarlo Mauri
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review     Date:  2007-08-11
Journal Detail:
Title:  Bio Systems     Volume:  91     ISSN:  0303-2647     ISO Abbreviation:  BioSystems     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-02-15     Completed Date:  2008-04-30     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  499-514     Citation Subset:  IM    
Affiliation:
Università degli Studi di Milano, Dipartimento di Informatica e Comunicazione, Via Comelico 39, 20135 Milano, Italy. besozzi@dico.unimi.it
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Simulation
Gene Expression Profiling / methods
Gene Expression Regulation / physiology*
Models, Biological*
Models, Statistical
Proteome / metabolism*
Signal Transduction / physiology*
Software*
Stochastic Processes
Systems Biology / methods*
Chemical
Reg. No./Substance:
0/Proteome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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