Increase in the number of bacterial pathogens resistant to conventional antibiotics, with time, has prompted renewed interest in the use of alternative natural microbial inhibitors, antibacterial peptides (a subset of antimicrobial peptides). Antibacterial peptides are an evolutionarily conserved component of the innate immune response and are found among all classes of life i.e. both in vertebrates and invertebrates. These exhibit potent, broad spectrum activity which demonstrates them to be used as potential novel therapeutic agents. The experimental identification and designing of antibacterial peptides is a costly and time consuming affair. Thus, there is a need to develop computational tools for predicting this important class of peptides. So, a novel method AntiBP was developed in order to serve the purpose, which is first of its kind to do this. This method can predict whether a peptide is antibacterial or not with high accuracy.