| Literature DB >> 33405226 |
Lucia Bandiera1,2, David Gomez-Cabeza1, Eva Balsa-Canto3, Filippo Menolascina4,5.
Abstract
Synthetic biology has so far made limited use of mathematical models, mostly because their inference has been traditionally perceived as expensive and/or difficult. We have recently demonstrated how in silico simulations and in vitro/vivo experiments can be integrated to develop a cyber-physical platform that automates model calibration and leads to saving 60-80% of the effort. In this book chapter, we illustrate the protocol used to attain such results. By providing a comprehensive list of steps and pointing the reader to the code we use to operate our platform, we aim at providing synthetic biologists with an additional tool to accelerate the pace at which the field progresses toward applications.Keywords: Mathematical modeling; Microfluidics; Optimal experimental design; Synthetic biology; System identification
Year: 2021 PMID: 33405226 DOI: 10.1007/978-1-0716-1032-9_12
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745