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2006 | OriginalPaper | Chapter

STOCHASTICOPTIMIZATION METHODS FOR PROTEIN FOLDING

Authors : ALEXANDER SCHUG, THOMAS HERGES, ABHINAV VERMA, WOLFGANG WENZEL

Published in: Recent Advances in the Theory of Chemical and Physical Systems

Publisher: Springer Netherlands

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We recently developed an all-atom free energy force field (PFF01) for protein structure prediction with stochastic optimization methods. We demonstrated that PFF01 correctly predicts the native conformation of several proteins as the global optimum of the free energy surface. Here we review recent folding studies, which permitted the reproducible all-atom folding of the 20 amino-acid trp-cage protein, the 40-amino acid three-helix HIV accessory protein and the sixty amino acid bacterial ribosomal protein L20 with a variety of stochastic optimization methods. These results demonstrate that all-atom protein folding can be achieved with present day computational resources for proteins of moderate size.

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Metadata
Title
STOCHASTICOPTIMIZATION METHODS FOR PROTEIN FOLDING
Authors
ALEXANDER SCHUG
THOMAS HERGES
ABHINAV VERMA
WOLFGANG WENZEL
Copyright Year
2006
Publisher
Springer Netherlands
DOI
https://doi.org/10.1007/1-4020-4528-X_26

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