Figure 4

GA optimized weights for six variables in REGAL. We selected six variables and utilized the GA to optimize the weights for these variables (correction of Figure 1 from [1]). The greater the importance of a variable, the higher the value as shown here. Variables were abbreviated as follows: 1 = transition probability for amino acid pre- and post-edit; 2 = position of the candidate edit site within the codon; 3 = transition probability for codon pre- and post-edit; 4 = likelihood that editing will yield a more hydrophobic amino acid than the unedited codon; 5. = nucleotide in the -1 position; 6 = nucleotide in the +1 position.