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Updated: May 14, 2026

Microfluidic Mixers for Studying Protein Folding
Published on: April 10, 2012
Selecting fast-folding proteins by their rate of convergence
Dmitry K Gridnev1, Pedro Ojeda-May, Martin E Garcia
1FIAS, Routh-Moufang-Strasse 1, 60438 Frankfurt, Germany. gridnev@fias.uni-frankfurt.de
Abstract:
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 one to determine the optimal folding temperature and takes at least 3-4 orders of magnitude fewer time steps than those needed to compute folding times.
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