Predicting higher-order mutational effects in an rna enzyme by machine learning of high-throughput experimental data

HIGHLIGHTS

• who: August and collaborators from the Biologiques (DSIMB), France Boise State University, Boise, ID, United States, Biomolecular Sciences Graduate Programs, Boise have published the Article: Predicting higher-order mutational effects in an RNA enzyme by machine learning of high-throughput experimental data, in the Journal: (JOURNAL)
• what: While the primary goal was to predict the relative activity of RNA sequences, the authors wondered if the models might also be useful for predicting structurally important nucleotides. As an illustrative example, the authors focused on a model trained with sequences with five or fewer mutations relative to . . .
  

   

  

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