Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning

HIGHLIGHTS

• who: Jonathan C. Chen from the (UNIVERSITY) have published the paper: Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning, in the Journal: (JOURNAL) of 11/07/2022
• what: The model was trained on the training set described previously, comprised of 172,545 selection 2 sequences, with corresponding fitness values.
• how: Analysis of the HTS results indicated that of the 2433 sequences that had enriched during the selection 48.6% were from the CVAEgenerated sequences and 51.4% were from the competition set. To determine if there are . . .
  

   

  

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