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PROTEIN FUNCTION PREDICTION

Combining views for newly sequenced organisms

Nature Machine Intelligence volume 3, pages 1011–1012 (2021)Cite this article

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Newly sequenced organisms present a challenge for protein function prediction, as they lack experimental characterisation. A network-propagation approach that integrates functional network relationships with protein annotations, transferred from well-studied organisms, produces a more complete picture of the possible protein functions.

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Fig. 1: Combining different views of a newly sequenced organism produces a more complete picture of possible protein functions.

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Authors and Affiliations

  1. Department of Computational Biology, Cornell University, Ithaca, NY, USA

    Yingying Zhang, Shayne D. Wierbowski & Haiyuan Yu

  2. Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA

    Yingying Zhang, Shayne D. Wierbowski & Haiyuan Yu

  3. Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA

    Yingying Zhang

Authors
  1. Yingying Zhang
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  2. Shayne D. Wierbowski
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  3. Haiyuan Yu
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Correspondence to Haiyuan Yu.

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Zhang, Y., Wierbowski, S.D. & Yu, H. Combining views for newly sequenced organisms. Nat Mach Intell 3, 1011–1012 (2021). https://doi.org/10.1038/s42256-021-00426-8

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