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DEEP LEARNING IN MEDICINE

Predicting cracks in metalloproteins

Nature Machine Intelligence volume 1, pages 553–554 (2019)Cite this article

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Loss-of-function mutations in metal-binding proteins are heavily implicated with numerous diseases, and identifying such ‘cracks’ will be valuable to biologists and medical doctors in the study and treatment of disease. A deep learning approach has been developed to tackle this challenging task.

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Fig. 1: A deep-learning approach to predict whether mutations around metal-binding sites in metalloproteins are disease-relevant or benign.

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Authors and Affiliations

  1. College of Chemistry and Molecular Engineering, Peking University, Beijing, China

    Yuan Liu & Chu Wang

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  1. Yuan Liu
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  2. Chu Wang
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Correspondence to Chu Wang.

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The authors declare no competing interests.

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Liu, Y., Wang, C. Predicting cracks in metalloproteins. Nat Mach Intell 1, 553–554 (2019). https://doi.org/10.1038/s42256-019-0128-y

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