Chemical reaction networks for maximum likelihood estimation of the concentration of signalling molecules

Abstract

The use of maximum likelihood (ML) to estimate molecule concentration has been investigated theoretically. The key contribution of this paper is to show how the theoretical ML estimator can be implemented as a chemical reaction network (CRN). The proposed CRN can be implemented by DNA strand displacement reactions and therefore leads to a biochemical implementation of the theoretical ML estimator.