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
Autores: 1
2
1
Instituciones: 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
Año:
Periodo: Abr-Jun
Volumen: 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
Disciplinas: Biología,
Ciencias de la computación
Palabras clave: 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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