Biological signaling networks comprised of cellular components including si
gnaling proteins and small molecule messengers control the many cell functi
on in responses to various extracellular and intracellular signals includin
g hormone and neurotransmitter inputs, and genetic events. Many signaling p
athways have motifs familiar to electronics and control theory design. Feed
back loops are among the most common of these. Using experimentally derived
parameters, we modeled a positive feedback loop in signaling pathways used
by growth factors to trigger cell proliferation. This feedback loop is bis
table under physiological conditions, although the system can move to a mon
ostable state as well. We find that bistability persists under a wide range
of regulatory conditions, even when core enzymes in the feedback loop devi
ate from physiological values. We did not observe any other phenomena in th
e core feedback loop, but the addition of a delayed inhibitory feedback was
able to generate oscillations under rather extreme parameter conditions. S
uch oscillations may not be of physiological relevance. We propose that the
kinetic properties of this feedback loop have evolved to support bistabili
ty and flexibility in going between bistable and monostable modes, while si
multaneously being very refractory to oscillatory states. (C) 2001 American
Institute of Physics.