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

Predicting mutation-induced changes in protein thermodynamic stability (ΔΔG) is of great interest in protein engineering, variant interpretation, and protein biophysics. We introduce ThermoNet, a deep, 3D-convolutional neural network (3D-CNN) designed for structure-based prediction of ΔΔGs upon poin...

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Detalles Bibliográficos
Autores principales: Li, Bian, Yang, Yucheng T., Capra, John A., Gerstein, Mark B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728386/
https://www.ncbi.nlm.nih.gov/pubmed/33253214
http://dx.doi.org/10.1371/journal.pcbi.1008291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728386/
https://www.ncbi.nlm.nih.gov/pubmed/33253214
http://dx.doi.org/10.1371/journal.pcbi.1008291

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