New paper on A Bayesian Approach to Extracting Kinetic Information from Artificial Enzymatic Networks

We are very excited to share our new paper on Analytical Chemistry entitled “A Bayesian Approach to Extracting Kinetic Information from Artificial Enzymatic Networks”. In this paper authors demonstrate how a Bayesian approach takes into account experimental and modelling uncertainties of enzymatic reaction networks to improve estimations of kinetic parameters.

Congratulations to Mathieu Baltussen, Jeroen van de Wiel, Cristina Lía Fernández Regueiro, Miglė Jakštaitė and Wilhelm Huck!

The paper can be found here: https://pubs.acs.org/doi/10.1021/acs.analchem.2c00659