Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
|
| Materias: | |
| 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 |