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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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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2008
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| Matèries: | |
| Accés en línia: | 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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