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Fig. 2 | Journal of Cheminformatics

Fig. 2

From: Algorithm-supported, mass and sequence diversity-oriented random peptide library design

Fig. 2

Genetic algorithm-informed design suggestions. Output of the optimization genetic algorithm used to identify the best library designs, showing the pareto front (and the zoom of the 70–100% variability region of the pareto front) with all the working solutions (blue) and the best solutions (red) from the final population, obtained using the same input as in Fig. 1a. Three representative solutions (BS 1, BS 2 and BS 3 corresponding to 100%, 94% and 92% respectively) have been selected as suggestions for three possible designs to obtain “simplified” and maximally diverse OBOC libraries

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