AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics

Abstract

Deep learning (DL) has been frequently used in mass spectrometry-based proteomics but there is still a lot of potential. Here, the authors develop a framework that enables building DL models to predict arbitrary peptide properties with only a few lines of code.