Rapid protein stability prediction using deep learning representations

Rapid protein stability prediction using deep learning representations

Predicting the thermodynamic stability of proteins is a common and widely used step in protein engineering, and when elucidating the molecular mechanisms behind evolution and disease. Here, we present RaSP, a method for making rapid and accurate predictions of changes in protein stability by leverag...

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Bibliographic Details
Main Authors: Lasse M Blaabjerg, Maher M Kassem, Lydia L Good, Nicolas Jonsson, Matteo Cagiada, Kristoffer E Johansson, Wouter Boomsma, Amelie Stein, Kresten Lindorff-Larsen
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2023-05-01
Series:eLife
Subjects:
protein stability
machine learning
genomic variants
biophysics
Online Access:https://elifesciences.org/articles/82593

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