  In previous work, we have developed an approach for characterizing the
long-term dynamics of classes of Biological Interaction Networks (BINs), based
on "rate-dependent Lyapunov functions". In this work, we show that stronger
notions of convergence can be established by proving structural contractivity
with respect to non-standard norms. We illustrate our theory with examples from
signaling pathways.
