Robust deep learning based protein sequence design using ProteinMPNN

While deep learning has revolutionized protein structure prediction, almost all experimentally characterized de novo protein designs have been generated using physically based approaches such as Rosetta. Here we describe a deep learning based protein sequence design method, ProteinMPNN, with outstan...

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Detalles Bibliográficos
Autores principales: Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., Leung, P. J. Y., Huddy, T. F., Pellock, S., Tischer, D., Chan, F., Koepnick, B., Nguyen, H., Kang, A., Sankaran, B., Bera, A. K., King, N. P., Baker, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997061/
https://www.ncbi.nlm.nih.gov/pubmed/36108050
http://dx.doi.org/10.1126/science.add2187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997061/
https://www.ncbi.nlm.nih.gov/pubmed/36108050
http://dx.doi.org/10.1126/science.add2187

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