From sequence to function through structure: Deep learning for protein design

The process of designing biomolecules, in particular proteins, is witnessing a rapid change in available tooling and approaches, moving from design through physicochemical force fields, to producing plausible, complex sequences fast via end-to-end differentiable statistical models. To achieve condit...

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Detalles Bibliográficos
Autores principales: Ferruz, Noelia, Heinzinger, Michael, Akdel, Mehmet, Goncearenco, Alexander, Naef, Luca, Dallago, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Mini Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755234/
https://www.ncbi.nlm.nih.gov/pubmed/36544476
http://dx.doi.org/10.1016/j.csbj.2022.11.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755234/
https://www.ncbi.nlm.nih.gov/pubmed/36544476
http://dx.doi.org/10.1016/j.csbj.2022.11.014

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