摘要：In biochemical networks transient dynamics plays a fundamental
role, since the activation of signalling pathways is determined by
thresholds encountered during the transition from an initial state
(e.g. an initial concentration of a certain protein) to a steady-state.
These thresholds can be defined in terms of the inflection points
of the stimulus–response curves associated to the activation processes in the biochemical network. In the present work, we present
a rigorous discussion as to the suitability of finite-time Lyapunov
exponents and metabolic control coefficients for the detection of
inflection points of stimulus–response curves with sigmoidal shape.
