Bayesian modeling reveals metabolite-dependent ultrasensitivity in the cyanobacterial circadian clock.

ABSTRACT: Mathematical models can enable a predictive understanding of mechanism in cell biology by quantitatively describing complex networks of interactions, but such models are often poorly constrained by available data. Owing to its relative biochemical simplicity, the core circadian oscillator in Synechococcus elongatus has become a prototypical system for studying how collective dynamics emerge from molecular interactions. The oscillator consists of only three proteins, KaiA, KaiB, and KaiC, and near-24-h cycles of KaiC phosphorylation can be reconstituted in vitro. Here, we formulate a molecularly detailed but mechanistically naive model of the KaiA-KaiC subsystem and fit it directly to experimental data within a Bayesian parameter estimation framework. Analysis of the fits consistently revea

SUBMITTER: Hong L 

PROVIDER: S-EPMC7271899 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature