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Machine learning using multiple logistic regression for antimicrobial and hemolytic peptides prediction and their identification in large proteins

Figure 1 - Prediction of Tachyplesin I localization in its precursor protein: 

l is the rightmost a.a. in the sliding window, pAntimicrobial is probability of antimicrobial activity, L' is the sliding window length (the only variant corresponding to the actual tacheplesin I length, i.e. 17 a.a.)

Prediction of Tachyplesin I localization in its precursor protein: l is the rightmost a.a. in the sliding window, pAntimicrobial is probability of antimicrobial activity, L' is the sliding window length (the only variant corresponding to the actual tacheplesin I length, i.e. 17 a.a.)

the dashed horizontal line represents the estimated optimal cut-off for AMPs prediction (0.6)