A heteropolymer model of randomly self-interacting chains in two dimen
sions is studied with numerical simulations in order to elucidate the
folding mechanism of protein. We find that the model occasionally show
s folding propensity depending on the sequence of random numbers given
to the chain. We study the thermodynamic and kinematic roles in the f
olding mechanism by grouping the local energy minima found in the simu
lations into clusters according to the similarity of their conformatio
ns. It is suggested that the local minima to which some heteropolymers
show a folding tendency are always the lowest energy states of the en
ergy spectrum within a cluster, though which cluster is selected depen
ds on the sequence. For the eight random sequences we study, we find t
hat the energy gap between the ground stale and excited states is litt
le correlated with folding or nonfolding. We rather find that folding
propensities are correlated with the global structure of the average e
nergy surface, implying a dominant kinetic role in the folding mechani
sm, although thermal factors cannot be ignored as the mechanism of cho
osing the ground state within a cluster of states connected by small d
eformations. We suggest that a hierarchical cluster structure plays an
important role in selecting a unique folded state out of the huge num
ber of local minima of heteropolymers. (C) 1997 John Wiley & Sons, Inc
.