Towards generalizable prediction of antibody thermostability using machine learning on sequence and structure features
Convolution Neural Network-Based Prediction of Protein Thermostability
Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning
Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence
Antibody structure prediction using interpretable deep learning - ScienceDirect
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Using graph convolutional neural networks to learn a representation for glycans - ScienceDirect
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MEDUSA: Prediction of Protein Flexibility from Sequence - ScienceDirect
Convolution Neural Network-Based Prediction of Protein Thermostability
PDF) Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning
Robust deep learning–based protein sequence design using ProteinMPNN
Full article: Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features