In our previous studies, 19 antibacterial and 27 antiviral novel AMPs were identified using an in silico mathematical algorithm, HMMER, a machine learning tool whose codes are written in Figure 1, to identify three bacterial [15] and viral pathogens [16], respectively, in which the binding of these AMPs to the pneumonia pathogen receptors identified was carried out. Here, ADSL is linked to susceptibility to pneumonia measurement.