dc.creator | Cheruku, Smitha | es |
dc.creator | Paun, Andrei | es |
dc.creator | Romero Campero, Francisco José | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Ibarra, Óscar H. | es |
dc.date.accessioned | 2017-12-22T09:03:02Z | |
dc.date.available | 2017-12-22T09:03:02Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Cheruku, S., Paun, A., Romero Campero, F.J., Pérez Jiménez, M.d.J. y Ibarra, Ó.H. (2007). Simulating FAS-induced apoptosis by using P systems. Progress in Natural Science, 17 (4), 424-431. | |
dc.identifier.issn | 1002-0071 | es |
dc.identifier.uri | http://hdl.handle.net/11441/67977 | |
dc.description.abstract | In contrast to differential equations, P systems are an unconven-
tional model of computation which takes into consideration the discrete
character of the quantity of components and the inherent randomness
that exists in biological phenomena. The key feature of P systems is
their compartmentalised structure which represents the heterogeneity
of the structural organisation of the cells, and where one can take into
account the role played by membranes in the functioning of the system,
for example signalling at the cell surface [13], selective uptake of sub-
stances from the media [14], diffusion across different compartments
[15], etc.
We show here that P systems can be a reliable tool for Systems
Biology and could even outperform in some cases the current simu-
lation techniques based on differential equations. We will also use a
strategy based on the well known Gillespie algorithm [4] but running
on more than one compartment called Multi-compartmental Gillespie
Algorithm [13]. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Taylor and Francis Online | es |
dc.relation.ispartof | Progress in Natural Science, 17 (4), 424-431. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Simulating FAS-induced apoptosis by using P systems | es |
dc.type | info:eu-repo/semantics/article | es |
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 | http://www.tandfonline.com/doi/abs/10.1080/10020070708541019?journalCode=tpns20 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 15 | es |
dc.journaltitle | Progress in Natural Science | es |
dc.publication.volumen | 17 | es |
dc.publication.issue | 4 | es |
dc.publication.initialPage | 424 | es |
dc.publication.endPage | 431 | es |
dc.identifier.sisius | 6630030 | es |