Modified configurational bias Monte Carlo method for simulation of polymer systems

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Abstract
We present an extension of the configurational bias Monte Carlo method for the efficient simulation of off–lattice polymer systems. Elementary moves consist in regrowing internal segments of a polymer chain. We show that the method satisfies the detailed balance condition. We apply it to three well known simple models used in protein studies, namely homopolymers, random heteropolymers and random copolymers.