Cargando…
Current structure predictors are not learning the physics of protein folding
SUMMARY: Motivation. Predicting the native state of a protein has long been considered a gateway problem for understanding protein folding. Recent advances in structural modeling driven by deep learning have achieved unprecedented success at predicting a protein’s crystal structure, but it is not cl...
Autores principales: | Outeiral, Carlos, Nissley, Daniel A, Deane, Charlotte M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963306/ https://www.ncbi.nlm.nih.gov/pubmed/35099504 http://dx.doi.org/10.1093/bioinformatics/btab881 |
Ejemplares similares
-
Membranome 3.0: Database of single‐pass membrane proteins with AlphaFold models
por: Lomize, Andrei L., et al.
Publicado: (2022) -
Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains
por: Nissley, Daniel A, et al.
Publicado: (2021) -
Structural Bridges through Fold Space
por: Edwards, Hannah, et al.
Publicado: (2015) -
Directionality in protein fold prediction
por: Ellis, Jonathan J, et al.
Publicado: (2010) -
RFQAmodel: Random Forest Quality Assessment to identify a predicted protein structure in the correct fold
por: West, Clare E., et al.
Publicado: (2019)