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Calpain Cleavage Prediction Using Multiple Kernel Learning

Figure 2

Linear-kernel SVM performance trained on full set of substrates (All) vs. calpain-1 (Cal 1) and calpain-2 (Cal 2).

AUC score as function of symetrical extension length (number of nucleotides) on each side of putative cleavage site. A: using only position information. B: using position and secondary structure (SS) information.

Figure 2

doi: https://doi.org/10.1371/journal.pone.0019035.g002