Information on detailed genetic code is increasing. To make use of the information, scientists need to understand how that is translated into the three-dimensional structure of proteins. Progress in this field is hampered by the lack of precise force fields and of efficient codes for finding equilibrium configurations of heteropolymers. This volume discusses the advances made within this area.
Modelling protein folding by Monte Carlo dynamics - Chevron plots, Chevron rollover and non-arrhenius kinetics; a second course in dynamical Monte Carlo; the Monte Carlo growth method; dynamical parameter algorithms for protein folding; protein folding in contact map space; phase diagram of semi-stiff homopolymers; testing a new Monte Carlo strategy for folding model proteins; heteropolymer folding in the two-dimensional HAP model; PERM - a Monte Carlo strategy for simulating polymers and other things; exploring energy landscapes with the activation-relaxation technique. (Part contents).