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Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research

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Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research

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dc.contributor.author Fuente, David es_ES
dc.contributor.author Garibo i Orts, Óscar es_ES
dc.contributor.author Conejero, J. Alberto es_ES
dc.contributor.author Urchueguía Schölzel, Javier Fermín es_ES
dc.date.accessioned 2021-09-11T03:31:18Z
dc.date.available 2021-09-11T03:31:18Z
dc.date.issued 2020-08 es_ES
dc.identifier.uri http://hdl.handle.net/10251/172144
dc.description.abstract [EN] The recent success of biological engineering is due to a tremendous amount of research effort and the increasing number of market opportunities. Indeed, this has been partially possible due to the contribution of advanced mathematical tools and the application of engineering principles in genetic-circuit development. In this work, we use a rationally designed genetic circuit to show how models can support research and motivate students to apply mathematics in their future careers. A genetic four-state machine is analyzed using three frameworks: Deterministic and stochastic modeling through di erential and master equations, and a spatial approach via a cellular automaton. Each theoretical framework sheds light on the problem in a complementary way. It helps in understanding basic concepts of modeling and engineering, such as noise, robustness, and reaction¿di usion systems. The designed automaton could be part of a more complex system of modules conforming future bio-computers and it is a paradigmatic example of how models can assist teachers in multidisciplinary education. es_ES
dc.description.sponsorship D.F. was supported by an internal grant from Palacky University Olomouc (no. IGA_PrF_2020_028) and J.A.C. by MEC, grant number MTM2016-75963-P. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Mathematics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Mathematics es_ES
dc.subject Synthetic biology es_ES
dc.subject Education es_ES
dc.subject Finite state machine es_ES
dc.subject Noise es_ES
dc.subject Cellular automaton es_ES
dc.subject Reaction-diffusion system es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/math8081362 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//MTM2016-75963-P/ES/DINAMICA DE OPERADORES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Fuente, D.; Garibo I Orts, Ó.; Conejero, JA.; Urchueguía Schölzel, JF. (2020). Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research. Mathematics. 8(8):1-20. https://doi.org/10.3390/math8081362 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/math8081362 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 20 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 8 es_ES
dc.identifier.eissn 2227-7390 es_ES
dc.relation.pasarela S\432482 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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dc.subject.ods 04.- Garantizar una educación de calidad inclusiva y equitativa, y promover las oportunidades de aprendizaje permanente para todos es_ES


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