Using graph convolutional neural networks to learn a representation for glycans - ScienceDirect
Protein sequence design with a learned potential
Robust deep learning–based protein sequence design using ProteinMPNN
Evaluating Protein Engineering Thermostability Prediction Tools Using an Independently Generated Dataset
Rapid protein stability prediction using deep learning representations
Frontiers Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field
Protposer: The web server that readily proposes protein stabilizing mutations with high PPV - ScienceDirect
PDF] Predicting protein‐protein interactions through sequence‐based deep learning
MEDUSA: Prediction of Protein Flexibility from Sequence - ScienceDirect
Protein–protein interaction prediction with deep learning: A comprehensive review - Computational and Structural Biotechnology Journal
Convolution Neural Network-Based Prediction of Protein Thermostability