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pubmed-article:9669880pubmed:abstractTextSuccess in solving the protein structure prediction problem relies on the choice of an accurate potential energy function. for a single protein sequence, it has been shown that the potential energy function can be optimized for predictive success by maximizing the energy gap between the correct structure and the ensemble of random structures relative to the distribution of the energies of these random structures (the Z-score). Different methods have been described for implementing this procedure for an ensemble of database proteins. Here, we demonstrate a new approach.lld:pubmed
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pubmed-article:9669880pubmed:dateRevised2007-11-14lld:pubmed
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pubmed-article:9669880pubmed:articleTitleOptimizing energy potentials for success in protein tertiary structure prediction.lld:pubmed
pubmed-article:9669880pubmed:affiliationDepartment of Chemistry, University of Michigan, Ann Arbor, MI 48109-1055, USA.lld:pubmed
pubmed-article:9669880pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:9669880pubmed:publicationTypeResearch Support, U.S. Gov't, P.H.S.lld:pubmed
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