Article

Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks

2020-02-28

Abstract excerpt

Predicting mutation-induced changes in protein thermodynamic stability (∆∆G) is of great interest in protein engineering, variant interpretation, and understanding protein biophysics. We introduce ThermoNet, a deep, 3D-convolutional neural network designed for structure-based prediction of ∆∆Gs upon point mutation. To leverage the image-processing power inherent in convolutional neural networks, we treat protein s...

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Literature Corpus work: e700abde-cd6f-5946-99be-d0e806260307
DOI: 10.1101/2020.02.28.959874

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