Understanding biochemical design principles with ensembles of canonical non-linear models.

ABSTRACT: Systems biology applies concepts from engineering in order to understand biological networks. If such an understanding was complete, biologists would be able to design ad hoc biochemical components tailored for different purposes, which is the goal of synthetic biology. Needless to say that we are far away from creating biological subsystems as intricate and precise as those found in nature, but mathematical models and high throughput techniques have brought us a long way in this direction. One of the difficulties that still needs to be overcome is finding the right values for model parameters and dealing with uncertainty, which is proving to be an extremely difficult task. In this work, we take advantage of ensemble modeling techniques, where a large number of models with different parame

SUBMITTER: Bromig L 

PROVIDER: S-EPMC7192416 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature