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Deep convolutional networks for quality assessment of protein folds

Author(s): Georgy Derevyanko

MOTIVATION: The computational prediction of a protein structure from its sequence generally relies on a method to assess the quality of protein models. Most assessment methods rank candidate models using heavily engineered structural features, defined as complex functions of the atomic coordinates. However, very few methods have attempted to learn these f ...

Article GUID: 29931128


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