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A knowledge-based structure-discriminating function that requires only main-chain atom coordinates.
Makino Y, Itoh N.
BMC Struct Biol. 2008 Oct 29;8:46.PMID: 18957132 [PubMed - indexed for MEDLINE]Related articlesFree article
An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.
Zhang C, Liu S, Zhou H, Zhou Y.
Protein Sci. 2004 Feb;13(2):400-11.PMID: 14739325 [PubMed - indexed for MEDLINE]Related articlesFree article
A reduced protein model with accurate native-structure identification ability.
Betancourt MR.
Proteins. 2003 Dec 1;53(4):889-907.PMID: 14635131 [PubMed - indexed for MEDLINE]Related articles
Protein refolding in silico with atom-based statistical potentials and conformational search using a simple genetic algorithm.
Fang Q, Shortle D.
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Soft energy function and generic evolutionary method for discriminating native from nonnative protein conformations.
Chiu YY, Hwang JK, Yang JM.
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Novel knowledge-based mean force potential at the profile level.
Dong Q, Wang X, Lin L.
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Improved protein structure selection using decoy-dependent discriminatory functions.
Wang K, Fain B, Levitt M, Samudrala R.
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Improving consensus structure by eliminating averaging artifacts.
Dukka BK.
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Can molecular dynamics simulations help in discriminating correct from erroneous protein 3D models?
Taly JF, Marin A, Gibrat JF.
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Empirical potential function for simplified protein models: combining contact and local sequence-structure descriptors.
Zhang J, Chen R, Liang J.
Proteins. 2006 Jun 1;63(4):949-60.PMID: 16477624 [PubMed - indexed for MEDLINE]Related articles
Minimalist representations and the importance of nearest neighbor effects in protein folding simulations.
Colubri A, Jha AK, Shen MY, Sali A, Berry RS, Sosnick TR, Freed KF.
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A distance-dependent atomic knowledge-based potential for improved protein structure selection.
Lu H, Skolnick J.
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A distance-dependent atomic knowledge-based potential and force for discrimination of native structures from decoys.
Mirzaie M, Eslahchi C, Pezeshk H, Sadeghi M.
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ProVal: a protein-scoring function for the selection of native and near-native folds.
Berglund A, Head RD, Welsh EA, Marshall GR.
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Scoring predictive models using a reduced representation of proteins: model and energy definition.
Fogolari F, Pieri L, Dovier A, Bortolussi L, Giugliarelli G, Corazza A, Esposito G, Viglino P.
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Protein structure evaluation using an all-atom energy based empirical scoring function.
Narang P, Bhushan K, Bose S, Jayaram B.
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A knowledge-based potential with an accurate description of local interactions improves discrimination between native and near-native protein conformations.
Ferrada E, Vergara IA, Melo F.
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Optimizing physical energy functions for protein folding.
Fujitsuka Y, Takada S, Luthey-Schulten ZA, Wolynes PG.
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Statistically based reduced representation of amino acid side chains.
Rainey JK, Goh MC.
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Generalized protein structure prediction based on combination of fold-recognition with de novo folding and evaluation of models.
Koliński A, Bujnicki JM.
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