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-  2019 

End-to-End Differentiable Learning of Protein Structure

DOI: https://doi.org/10.1016/j.cels.2019.03.006

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Abstract:

? Neural network predicts protein structure from sequence without using co-evolution ? Model replaces structure prediction pipelines with one mathematical function ? Achieves state-of-the-art performance on novel protein folds ? Learns a low-dimensional representation of protein sequence spac

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