  We propose a general method for predicting potentially good folders from a
given number of amino acid sequences. Our approach is based on the calculation
of the rate of convergence of each amino acid chain towards the native
structure using only the very initial parts of the dynamical trajectories. It
does not require any preliminary knowledge of the native state and can be
applied to different kinds of models, including atomistic descriptions. We
tested the method within both the lattice and off-lattice model frameworks and
obtained several so far unknown good folders. The unbiased algorithm also
allows to determine the optimal folding temperature and takes at least 3--4
orders of magnitude less time steps than those needed to compute folding times.

Biological Physics;Biomolecules