Harnessing protein folding neural networks for peptide–protein docking

Highly accurate protein structure predictions by deep neural networks such as AlphaFold2 and RoseTTAFold have tremendous impact on structural biology and beyond. Here, we show that, although these deep learning approaches have originally been developed for the in silico folding of protein monomers,...

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Detalles Bibliográficos
Autores principales: Tsaban, Tomer, Varga, Julia K., Avraham, Orly, Ben-Aharon, Ziv, Khramushin, Alisa, Schueler-Furman, Ora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748686/
https://www.ncbi.nlm.nih.gov/pubmed/35013344
http://dx.doi.org/10.1038/s41467-021-27838-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748686/
https://www.ncbi.nlm.nih.gov/pubmed/35013344
http://dx.doi.org/10.1038/s41467-021-27838-9

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