Table 1 Schematic Data table representing the training data set before feature correlation analysis. The three sections of the table are the sequences from iAMP-2 L training set [50], the features derived from the 544 amino acid properties in the AAindex1 [63], and the classification label of antibacterial activity from the positive or negative training data set. a_n denotes a sequence, b_n indicates the sum of the sequence for an AAindex1 property, c_n indicates the mean and d_n indicates the maximum sum of three adjacent residues in the sequence

From: Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries