Bridging the Gap Between Model-Based Design and Reliable Implementation of Feedback-Based Biocircuits: A Systems Inverse Problem Approach
Título del documento: Bridging the Gap Between Model-Based Design and Reliable Implementation of Feedback-Based Biocircuits: A Systems Inverse Problem Approach
Revista: Computación y sistemas
Base de datos: PERIÓDICA
Número de sistema: 000423231
ISSN: 1405-5546
Autors: 1
2
1
Institucions: 1Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados, Ciudad de México. México
2Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México. México
Any:
Període: Abr-Jun
Volum: 21
Número: 2
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés Our concern is the tuning of mathematical models describing rationally designed genetic biocircuits. Based on a deterministic lumped continuous-time approach, we propose a tuning methodology combining both exact algebraic parameter reconstruction and nonlinear parameter estimation of a given model supporting the design of a specific genetic biocircuit, i.e., we bridge the gap between model-based design and implementation as the solution of a systems inverse problem. As a proof of concept, our proposal is constrained to cyclic feedback systems characterizing synthesized transcriptional networks conditioned to display sustained oscillatory behavior. Our proposed methodology is illustrated via computer–based simu-lations involving the tuning of a state–based model describing a well–know cyclic feedback biocircuit: the celebrated repressilator. Tuning in our case is conceived as a procedure to adjust the parameter values of the mathematical model taking into account for this the actual behavior observed from the corresponding synthesized biocircuit
Disciplines Biología,
Ciencias de la computación
Paraules clau: Procesamiento de datos,
Biología de sistemas,
Biología sintética,
Modelos matemáticos,
Sistemas de identificación basados en observadores,
Redes sintéticas transcripcionales,
Biocircuitos de retroalimentación cíclica
Keyword: Data processing,
Systems biology,
Synthetic biology,
Mathematical models,
Observer based system identification,
Synthetic transcriptional networks,
Cyclic feedback biocircuits
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