In section 3.1, we discuss the ability of our models to identify general antimicrobial activity. We observe that our proposed models consistently outperform the baseline and, in some cases, the models proposed in the literature. One shortcoming of any computational model that identifies general antimicrobial activity is that it cannot be used to identify activity against specific species. We address this shortcoming in section 3.2, by training our models to identify species-specific activity against S. aureus ATCC 29213 and P. aeruginosa ATCC 27853 on an experimentally validated dataset of 16 peptides, for which the proposed approach produces accurate models.