Life Sciences Commons^™

Antimicrobial Peptide Identification Using Multi-Scale Convolutional Network, Xin Su, Jing Xu, Yanbin Yin, Xiongwen Quan, Han Zhang

Department of Food Science and Technology: Faculty Publications

Background: Antibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention. To identify new AMPs, machine learning methods have been commonly used. More recently, some deep learning methods have also been applied to this problem.

Results: In this paper, we designed a deep learning model to identify AMP sequences. We employed the embedding layer and the multi-scale convolutional network in our model. The multi-scale convolutional network, which contains multiple convolutional layers of varying filter lengths, could utilize all latent features captured by the multiple convolutional layers. …