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NUCLEIC-ACID THERAPEUTICS

AI-powered aptamer generation

Nature Computational Science volume 2, pages 356–357 (2022)Cite this article

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Aptamers are expected to be next-generation drugs, but identifying candidate aptamers is a challenging task given the large search space. Now, an artificial intelligence (AI)-powered tool called RaptGen is proposed for improving the successful identification of aptamer sequences.

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Fig. 1: Schematic view of RaptGen.

References

  1. Keefe, A., Pai, S. & Ellington, A. Nat. Rev. Drug Discov. 9, 537–550 (2010).

    Article  Google Scholar 

  2. Iwano, N., Adachi, T., Aoki, K., Nakamura, Y. & Hamada, M. Nat. Comput. Sci. https://doi.org/10.1038/s43588-022-00249-6 (2022).

    Article  Google Scholar 

  3. Tuerk, C. & Gold, L. Science 249, 505–510 (1990).

    Article  Google Scholar 

  4. Ellington, A. D. & Szostak, J. W. Nature 346, 818–822 (1990).

    Article  Google Scholar 

  5. Wang, R. E., Wu, H., Niu, Y. & Cai, J. Curr. Med. Chem. 18, 4126–4138 (2011).

    Article  Google Scholar 

  6. Ishida, R. et al. Nucleic Acids Res. 48, e82–e82 (2020).

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Majid Khabbazian

  2. Department of Computer Science, University of Victoria, Victoria, British Columbia, Canada

    Hosna Jabbari

  3. Institute on Aging and Lifelong Health, University of Victoria, Victoria, British Columbia, Canada

    Hosna Jabbari

Authors
  1. Majid Khabbazian
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  2. Hosna Jabbari
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Correspondence to Hosna Jabbari.

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The authors declare no competing interests.

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Khabbazian, M., Jabbari, H. AI-powered aptamer generation. Nat Comput Sci 2, 356–357 (2022). https://doi.org/10.1038/s43588-022-00253-w

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  • DOI: https://doi.org/10.1038/s43588-022-00253-w

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