Skip to main content
SpringerLink
Log in

PROTEIN FUNCTION PREDICTION

Combining views for newly sequenced organisms

  • News & Views
  • Published:

From Nature Machine Intelligence

View current issue Submit your manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

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

References

  1. Torres, M., Yang, H., Romero, A. E. & Paccanaro, A. Nat. Mach. Intell. https://doi.org/10.1038/s42256-021-00419-7 (2021).

    Article  Google Scholar 

  2. Zhao, Y. et al. Front. Genet. 11, 400 (2020).

    Article  Google Scholar 

  3. Mitchell, A. L. et al. Nucleic Acids Res. 47, D351–D360 (2019).

    Article  Google Scholar 

  4. Wheeler, T. J. & Eddy, S. R. Bioinformatics 29, 2487–2489 (2013).

    Article  Google Scholar 

  5. Gligorijević, V. et al. Nat. Commun. 12, 3168 (2021).

    Article  Google Scholar 

  6. Jensen, L. J. et al. J. Mol. Biol. 319, 1257–1265 (2002).

    Article  Google Scholar 

  7. Zhang, S., Tong, H., Xu, J. & Maciejewski, R. Computat. Soc. Netw. 6, 11 (2019).

    Article  Google Scholar 

Download references

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shayne D. Wierbowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Haiyuan Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Haiyuan Yu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s42256-021-00426-8

  • Springer Nature Limited

Search

Navigation