Anzeige
Erschienen in:
2006 | OriginalPaper | Buchkapitel
STOCHASTICOPTIMIZATION METHODS FOR PROTEIN FOLDING
verfasst von : ALEXANDER SCHUG, THOMAS HERGES, ABHINAV VERMA, WOLFGANG WENZEL
Erschienen in: Recent Advances in the Theory of Chemical and Physical Systems
Verlag: Springer Netherlands
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.