General AMP Prediction is a tool of prediction of only Linear peptides which are active against
someone bacterial strain. It based on the machine learning algorithm and uses Moon and Fleming scale
(Moon C. P., Fleming K. G., Proc. Natl. Acad. Sci. U. S. A. 2011, 108 (25), 10174-10177) and the
following physico-chemical characteristics of peptides: Hydrophobic moment, Charge density and
depth-dependent potential (for the detail see: Vishnepolsky B. and Pirtskhalava M. Prediction of
Linear Cationic Antimicrobial Peptides Based on Characteristics Responsible for Their Interaction
with the Membranes J. Chem. Inf. Model. 2014, 54, 1512−1523., PubMed). Peptide should consist of 20
canonical amino acids and peptide length does not exceed 100 amino acids.