We stimulate the evolution of model protein sequences subject to mutations.
A mutation is considered neutral if it conserves (1) the structure of the
ground state, (2) its thermodynamic stability and (3) its kinetic accessibi
lity. All other mutations are considered lethal and are rejected. We adopt
a lattice model, amenable to a reliable solution of the protein folding pro
blem. We prove the existence of extended neutral networks in sequence space
-sequences can evolve until their similarity with the starting point is alm
ost the same as for random sequences. Furthermore, we find that the rate of
neutral mutations has a broad distribution in sequence space. Due to this
fact, the substitution process is overdispersed (the ratio between variance
and mean is larger than 1). This result is in contrast with the simplest m
odel of neutral evolution, which assumes a Poisson process for substitution
s, and in qualitative agreement with the biological data. (C) 1999 Academic
Press.