Artículo
The protein folding problem: global optimization of force fields
Scheraga, Harold A.; Vila, Jorge Alberto
; Liwo, A.; Oldziej, S.; Czaplewski. C.; Pillardy, J.; Ripoll, D. R.; Vila, J. A.; Kazmierkiewicz, R.; Saunders, J. A.; Arnautova, Yelena A.; Jagielska, A.; Chinchio, M.; Nanias, M.
; Liwo, A.; Oldziej, S.; Czaplewski. C.; Pillardy, J.; Ripoll, D. R.; Vila, J. A.; Kazmierkiewicz, R.; Saunders, J. A.; Arnautova, Yelena A.; Jagielska, A.; Chinchio, M.; Nanias, M.
Fecha de publicación:
06/2004
Editorial:
Frontiers in Bioscience
Revista:
Frontiers in Bioscience
ISSN:
1093-9946
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The evolutionary development of a theoretical approach to the protein folding problem, in our laboratory, is traced. The theoretical foundations and the development of a suitable empirical all-atom potential energy function and a global optimization search are examined. Whereas the all-atom approach has thus far succeeded for relatively small molecules and for a-helical proteins containing up to 46 residues, it has been necessary to develop a hierarchical approach to treat larger proteins. In the hierarchical approach to single- and multiple-chain proteins, global optimization is carried out for a simplified united residue (UNRES) description of a polypeptide chain to locate the region in which the global minimum lies. Conversion of the UNRES structures in this region to all-atom structures is followed by a local search in this region. The performance of this approach in successive CASP blind tests for predicting protein structure by an ab initio physics-based method is described. Finally, a recent attempt to compute a folding pathway is discussed.
Palabras clave:
PROTEIN FOLDING
,
GLOBAL OPTIMIZATION
,
FORCE FIELDS
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Articulos(IMASL)
Articulos de INST. DE MATEMATICA APLICADA DE SAN LUIS
Articulos de INST. DE MATEMATICA APLICADA DE SAN LUIS
Citación
Scheraga, Harold A.; Vila, Jorge Alberto; Liwo, A.; Oldziej, S.; Czaplewski. C.; et al.; The protein folding problem: global optimization of force fields; Frontiers in Bioscience; Frontiers in Bioscience; 9; 1-3; 6-2004; 3296-3323
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