XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers

Graph representations are traditionally used to represent protein structures in sequence design protocols in which the protein backbone conformation is known. This infrequently extends to machine learning projects: existing graph convolution algorithms have shortcomings when representing protein env...

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Detalles Bibliográficos
Autores principales: Maguire, Jack B., Grattarola, Daniele, Mulligan, Vikram Khipple, Klyshko, Eugene, Melo, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496835/
https://www.ncbi.nlm.nih.gov/pubmed/34570773
http://dx.doi.org/10.1371/journal.pcbi.1009037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496835/
https://www.ncbi.nlm.nih.gov/pubmed/34570773
http://dx.doi.org/10.1371/journal.pcbi.1009037

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