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Associative memory Hamiltonians for structure prediction without homology: Alpha-helical proteins

Energy landscape theory is used to obtain optimized energy functions for predicting protein structure, without using homology information. At short sequence separation the energy functions are associative memory Hamiltonians constructed from a database of folding patterns in nonhomologous proteins a...

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書誌詳細
主要な著者: Hardin, Corey, Eastwood, Michael P., Luthey-Schulten, Zaida, Wolynes, Peter G.
フォーマット: Artigo
言語:Inglês
出版事項: The National Academy of Sciences 2000
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC18901/
https://ncbi.nlm.nih.gov/pubmed/11114172
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