Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

MACHINE LEARNING

Fast track to structural biology

Machine learning algorithms are fast surpassing human abilities in multiple tasks, from image recognition to medical diagnostics. Now, machine learning algorithms have been shown to be capable of accurately predicting the folded structures of proteins.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: AlphaFold2 prediction of protein structures in three different cases.

References

  1. Artificial intelligence solution to a 50-year-old science challenge could ‘revolutionise’ medical research. Protein Structure Prediction Center (30 November 2020); https://predictioncenter.org/casp14/doc/CASP14_press_release.html

  2. Jumper, J. et al. Nature 596, 583–589 (2021).

    Article  CAS  Google Scholar 

  3. Baek, M. et al. RoseTTAFold: the first release of RoseTTAFold. Zenodo https://zenodo.org/record/5068265 (2021).

  4. Baek, M. et al. Science 373, 871–876 (2021).

    Article  CAS  Google Scholar 

  5. Tunyasuvunakool, K. et al. Nature 596, 590–596 (2021).

    Article  CAS  Google Scholar 

  6. AlQuraishi, M. The AlphaFold2 method paper: A fount of good ideas. Wordpress https://moalquraishi.wordpress.com/2021/07/25/the-alphafold2-method-paper-a-fount-of-good-ideas/ (2021).

  7. Noé, F., Tkatchenko, A., Müller, K.-R. & Clementi, C. Annu. Rev. Phys. Chem. 71, 361–390 (2020).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cecilia Clementi.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Clementi, C. Fast track to structural biology. Nat. Chem. 13, 1032–1034 (2021). https://doi.org/10.1038/s41557-021-00814-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41557-021-00814-y

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing