Mechanism-based and data-driven modeling in cell-free synthetic biology.
Chem Commun (Camb)
; 60(51): 6466-6475, 2024 Jun 20.
Article
en En
| MEDLINE
| ID: mdl-38847387
ABSTRACT
Cell-free systems have emerged as a versatile platform in synthetic biology, finding applications in various areas such as prototyping synthetic circuits, biosensor development, and biomanufacturing. To streamline the prototyping process, cell-free systems often incorporate a modeling step that predicts the outcomes of various experimental scenarios, providing a deeper insight into the underlying mechanisms and functions. There are two recognized approaches for modeling these systems mechanism-based modeling, which models the underlying reaction mechanisms; and data-driven modeling, which makes predictions based on data without preconceived interactions between system components. In this highlight, we focus on the latest advancements in both modeling approaches for cell-free systems, exploring their potential for the design and optimization of synthetic genetic circuits.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Sistema Libre de Células
/
Biología Sintética
Idioma:
En
Revista:
Chem Commun (Camb)
Asunto de la revista:
QUIMICA
Año:
2024
Tipo del documento:
Article
País de afiliación:
Países Bajos
Pais de publicación:
Reino Unido