Nature Communications (Apr 2021)

Machine learning guided aptamer refinement and discovery

  • Ali Bashir,
  • Qin Yang,
  • Jinpeng Wang,
  • Stephan Hoyer,
  • Wenchuan Chou,
  • Cory McLean,
  • Geoff Davis,
  • Qiang Gong,
  • Zan Armstrong,
  • Junghoon Jang,
  • Hui Kang,
  • Annalisa Pawlosky,
  • Alexander Scott,
  • George E. Dahl,
  • Marc Berndl,
  • Michelle Dimon,
  • B. Scott Ferguson

DOI
https://doi.org/10.1038/s41467-021-22555-9
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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Current aptamer discovery approaches are unable to probe the complete space of possible sequences. Here, the authors use machine learning to facilitate the development of DNA aptamers with improved binding affinities, and truncate them without significantly compromising binding affinity.