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Figure 2 | BMC Bioinformatics

Figure 2

From: Efficient design of meganucleases using a machine learning approach

Figure 2

Cross-validation performance of various in silico methods. (Left) %Top10 — percentage of targets with at least one positive molecule in Top10 ranked, (Right) AUC – AUC score (see Material and Methods) Mact - predictions made on the basis of module cleavage activities, Fx — FoldX score, Rt — Rosetta score, SeqMact — protein/target sequences + module cleavage activities, SeqMactFxStr — all features combined (sequences + module cleavage activities + FoldX scores and interactions). Error bars are estimated from 30 independent cross-validation experiments.

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