Cargando…
Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM
Cryo-electron microscopy of protein complexes often leads to moderate resolution maps (4–8 Å), with visible secondary-structure elements but poorly resolved loops, making model building challenging. In the absence of high-resolution structures of homologues, only coarse-grained structural features a...
Autores principales: | Farrell, Daniel P., Anishchenko, Ivan, Shakeel, Shabih, Lauko, Anna, Passmore, Lori A., Baker, David, DiMaio, Frank |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467173/ https://www.ncbi.nlm.nih.gov/pubmed/32939280 http://dx.doi.org/10.1107/S2052252520009306 |
Ejemplares similares
-
Interpretation of medium resolution cryoEM maps of multi-protein complexes
por: Casañal, Ana, et al.
Publicado: (2019) -
AlphaFold2 and CryoEM: Revisiting CryoEM modeling in near-atomic resolution density maps
por: Hryc, Corey F., et al.
Publicado: (2022) -
Measurement of Atom Resolvability in CryoEM Maps with
Q-scores
por: Pintilie, Grigore, et al.
Publicado: (2020) -
Atoms out of Blobs: CryoEM Takes the Nobel Prize in Chemistry
por: Bertozzi, Carolyn
Publicado: (2017) -
Electron counting and beam-induced motion correction enable near atomic resolution single particle cryoEM
por: Li, Xueming, et al.
Publicado: (2013)