Prediction of Antifungal Peptides by Deep Learning with Character Embedding

Conventional computerbased methods for identifying antifungal peptides (AFPs) are primarily based on.large amounts of task-specific knowledge in feature extraction. This paper introduces a method, called AFPDeep,.which only uses peptide sequences as input, without calculating any features by human intervention for the prediction.of AFPs. First, an embedding layer is used to automatically code the sequence and to learn a dense vector representation.for each kind of amino acid appearing in the tra