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Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2

Bo Wang1, Eric R Gamazon1,2,3,4

  • 1Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Biorxiv : the Preprint Server for Biology
|February 3, 2021
PubMed
Summary

Deep learning models accurately predict protein biochemical phenotypes, including binding affinity and expression, from sequence mutations. Integrating amino acid properties further enhances these predictions for disease and drug discovery insights.

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