Skip to main content
Log in

NANOMEDICINE

Efficient screening of spherical nucleic acids

  • News & Views
  • Published:

From Nature Biomedical Engineering

View current issue Submit your manuscript

High-throughput nanoparticle synthesis combined with machine learning speeds up the exploration of structure–activity relationships for nanomedicines, as shown for spherical nucleic acids functioning as cancer-vaccine candidates.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1: Exploring structure–activity relationships in SNAs functioning as cancer vaccines7.

References

  1. Liu, Z. et al. Nano Lett. 18, 6655–6659 (2018).

    Article  CAS  Google Scholar 

  2. Irvine, D. Nat. Mat. 17, 472–473 (2018).

    Article  CAS  Google Scholar 

  3. Zhu, G. et al. ACS Nano 11, 2387–2392 (2017).

    Article  CAS  Google Scholar 

  4. Urbanavicius, D. et al. Mol. Immunol. 98, 2–7 (2018).

    Article  CAS  Google Scholar 

  5. Björnmalm, M. et al. ACS Nano 11, 9594–9613 (2017).

    Article  Google Scholar 

  6. Radovic-Moreno, A. F. et al. Proc. Natl Acad. Sci. USA 112, 3892–3897 (2015).

    Article  CAS  Google Scholar 

  7. Yamankurt, G. et al. N. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-019-0351-1 (2019).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaoyuan Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Y., Chen, X. Efficient screening of spherical nucleic acids. Nat Biomed Eng 3, 257–258 (2019). https://doi.org/10.1038/s41551-019-0391-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41551-019-0391-6

  • Springer Nature Limited

Navigation