dc.creator | Romero Campero, Francisco José | es |
dc.creator | Krasnogor, Natalio | es |
dc.date.accessioned | 2019-05-22T08:56:06Z | |
dc.date.available | 2019-05-22T08:56:06Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Romero Campero, F.J. y Krasnogor, N. (2009). An Approach to the Engineering of Cellular Models Based on P Systems. En CiE 2008: 5th Conference on Computability in Europe (430-436), Heidelberg, Germany: Springer. | |
dc.identifier.isbn | 978-3-642-03072-7 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/86669 | |
dc.description.abstract | Living cells assembled into colonies or tissues communicate using complex systems.
These systems consist in the interaction between many molecular species
distributed over many compartments. Among the different cellular processes
used by cells to monitor their environment and respond accordingly, gene regulatory
networks, rather than individual genes, are responsible for the information
processing and orchestration of the appropriate response [16].
In this respect, synthetic biology has emerged recently as a novel discipline
aiming at unravelling the design principles in gene regulatory systems by synthetically
engineering transcriptional networks which perform a specific and prefixed
task [2]. Formal modelling and analysis are key methodologies used in the
field to engineer, assess and compare different genetic designs or devices.
In order to model cellular systems in colonies or tissues one requires a formalism
able to represent the following relevant features:
– Single cells should be described as the elementary units in the system. Nevertheless,
they cannot be represented as homogeneous points as they exhibit
complex structures containing different compartments where specific molecular
species interact according to particular reactions.
– The molecular interactions taking place in cellular systems are inherently
discrete and stochastic processes. This is a key feature of cellular systems
that needs to be taken into account when describing their dynamics [9].
– It has been postulated that gene regulatory networks are organised in a
modular manner in such a way that cellular processes arise from the orchestrated
interactions between different genetic transcriptional units that can
be considered separable modules [1].
– Spatial and geometric information must be represented in the system in
order to describe processes involving pattern formation.
In this work we review recent advances in the use of the computational
paradigm membrane computing or P systems as a formal methodology in synthetic
biology for the specification and analysis on cellular system models according
to the previously presented points. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | CiE 2008: 5th Conference on Computability in Europe (2009), p 430-436 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | An Approach to the Engineering of Cellular Models Based on P Systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-642-03073-4_44 | es |
dc.identifier.doi | 10.1007/978-3-642-03073-4_44 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 7 | es |
dc.publication.initialPage | 430 | es |
dc.publication.endPage | 436 | es |
dc.eventtitle | CiE 2008: 5th Conference on Computability in Europe | es |
dc.eventinstitution | Heidelberg, Germany | es |
dc.relation.publicationplace | Berlin | es |