Hallucinating symmetric protein assemblies

Deep learning generative approaches provide an opportunity to broadly explore protein structure space beyond the sequences and structures of natural proteins. Here we use deep network hallucination to generate a wide range of symmetric protein homo-oligomers given only a specification of the number...

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Detalles Bibliográficos
Autores principales: Wicky, B. I. M., Milles, L. F., Courbet, A., Ragotte, R. J., Dauparas, J., Kinfu, E., Tipps, S., Kibler, R. D., Baek, M., DiMaio, F., Li, X., Carter, L., Kang, A., Nguyen, H., Bera, A. K., Baker, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724707/
https://www.ncbi.nlm.nih.gov/pubmed/36108048
http://dx.doi.org/10.1126/science.add1964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724707/
https://www.ncbi.nlm.nih.gov/pubmed/36108048
http://dx.doi.org/10.1126/science.add1964

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