Fig. 3
From: Algorithm-supported, mass and sequence diversity-oriented random peptide library design
Optimization of an exemplary multi-peptide library (T(\(\Delta\) mass)=1). a Input for the optimization genetic algorithm indicating the varying number of positions r, the number of theoretical permutations n, the size of search space, and the number of peptides in the BS 1 for each r. b The rate of change of the search space, presented in logarithmic scale (x-axis) in comparison to the exponential growth of the total number of permutation (y-axis). c Sequence logos of BS 1, where the percentage of peptides diverse by mass is 100%