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Protein conformational flexibility prediction using machine learning

Using a data set of 16 proteins, a neural network has been trained to predict backbone (15)N generalized order parameters from the three-dimensional structures of proteins. The final network parameterization contains six input features. The average prediction accuracy, as measured by the Pearson cor...

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Detaylı Bibliyografya
Asıl Yazarlar: Trott, Oleg, Siggers, Keri, Rost, Burkhard, Palmer, Arthur G.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2008
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC2413295/
https://ncbi.nlm.nih.gov/pubmed/18313957
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmr.2008.01.011
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