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Optimally designed vs intuition-driven inputs: the study case of promoter activity modelling

Bandiera, L.; Kothamachu, V.; Balsa-Canto, E.; Swain, P. S.; Menolascina, F.;
Open Access
<p><strong>Abstract</strong></p> <p>Synthetic biology is an emerging engineering discipline that aims at synthesising logical circuits into cells to accomplish new functions. Despite a thriving community and some notable successes, the basic task of assembling predictable gene circuits is still a key challenge. Mathematical models are uniquely suited to help solve this issue. Yet in biology they are perceived as expensive and laborious to obtain because low-information experiments have often been used to infer model parameters. How much additional information can be gained using optimally designed experiments? To tackle this question we consider a building bloc...
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Funded by
Control Engineering of Biological Systems for Reliable Synthetic Biology Applications
  • Funder: European Commission (EC)
  • Project Code: 766840
  • Funding stream: H2020
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