TY  - JOUR
AU  - Lakatos, E
AU  - Stumpf, MPH
Y2  - 2020/12/10
Y1  - 2017/08/01
SN  - 2054-5703
UR  - http://hdl.handle.net/11343/253452
AB  - Controlling the behaviour of cells by rationally guiding molecular processes is an overarching aim of much of synthetic biology. Molecular processes, however, are notoriously noisy and frequently nonlinear. We present an approach to studying the impact of control measures on motifs of molecular interactions that addresses the problems faced in many biological systems: stochasticity, parameter uncertainty and nonlinearity. We show that our reachability analysis formalism can describe the potential behaviour of biological (naturally evolved as well as engineered) systems, and provides a set of bounds on their dynamics at the level of population statistics: for example, we can obtain the possible ranges of means and variances of mRNA and protein expression levels, even in the presence of uncertainty about model parameters.
LA  - English
PB  - ROYAL SOC
T1  - Control mechanisms for stochastic biochemical systems via computation of reachable sets
DO  - 10.1098/rsos.160790
IS  - Royal Society Open Science
VL  - 4
IS  - 8
L1  - /bitstream/handle/11343/253452/PMC5579072.pdf?sequence=1&isAllowed=y
ER  -