Protein Sequencing with Artificial Intelligence: Machine Learning

ASU researcher advances the science of protein sequencing with NIH Innovator Award

Machine Learning in Drug Discovery: A Review

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

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering, Journal of Cheminformatics

An integration of deep learning with feature embedding for protein–protein interaction prediction [PeerJ]

Frontiers Artificial Intelligence Understands Peptide Observability and Assists With Absolute Protein Quantification