Discerning of Antimicrobial Peptides from Whole Genome Sequenced Temperate Fruit Crops

Antimicrobial peptide sequences from 5 temperate fruit crops (apple, blueberry, peach, raspberry and strawberry) were extracted in-silico. Two methods was used to extract the sequences, homology prediction as well as machine learning prediction using software tools. The extracted possible AMP sequences were analyzed for their physico-chemical properties and then categorized according to the same. All the possible AMP sequences are stored in a categorized worksheet. The data can be carried forward for further computational research or can be synthesized for wet lab works.