Improved AlphaFold modeling with implicit experimental information

Machine-learning prediction algorithms such as AlphaFold and RoseTTAFold can create remarkably accurate protein models, but these models usually have some regions that are predicted with low confidence or poor accuracy. We hypothesized that by implicitly including new experimental information such a...

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Detalles Bibliográficos
Autores principales: Terwilliger, Thomas C., Poon, Billy K., Afonine, Pavel V., Schlicksup, Christopher J., Croll, Tristan I., Millán, Claudia, Richardson, Jane. S., Read, Randy J., Adams, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636017/
https://www.ncbi.nlm.nih.gov/pubmed/36266465
http://dx.doi.org/10.1038/s41592-022-01645-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636017/
https://www.ncbi.nlm.nih.gov/pubmed/36266465
http://dx.doi.org/10.1038/s41592-022-01645-6

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