Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2
The paper uses convolutional neural networks to model mutational effects on biochemical phenotypes in SARS-CoV-2 and human ACE2, showing strong predictive power for binding affinity, expression, and antibody escape.
iScience · Jun 1, 2022Peer-reviewedBioinformatics