This review describes computational approaches to the determination of
protein structure from sequence. The emphasis is on reduced protein m
odels that are sufficiently accurate to represent protein structure at
low resolution, yet are computationally efficient enough to allow the
extensive search of phase space required to locate the global minimum
from an unfolded state. A discussion of both potential functions and
algorithmic simulation strategies for such models are presented, along
with a number of specific models that have been developed and success
fully applied to proteins as large as myoglobin. The results indicate
that significant progress is being made in understanding the requireme
nts for computational prediction of protein structure.