Cargando…
Detecting Protein Communities in Native Cell Extracts by Machine Learning: A Structural Biologist’s Perspective
Native cell extracts hold great promise for understanding the molecular structure of ordered biological systems at high resolution. This is because higher-order biomolecular interactions, dubbed as protein communities, may be retained in their (near-)native state, in contrast to extensively purifyin...
Autores principales: | Kyrilis, Fotis L., Belapure, Jaydeep, Kastritis, Panagiotis L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082361/ https://www.ncbi.nlm.nih.gov/pubmed/33937337 http://dx.doi.org/10.3389/fmolb.2021.660542 |
Ejemplares similares
-
IRAA: A statistical tool for investigating a protein–protein interaction interface from multiple structures
por: Belapure, Jaydeep, et al.
Publicado: (2023) -
Structural analysis of an endogenous 4-megadalton succinyl-CoA-generating metabolon
por: Skalidis, Ioannis, et al.
Publicado: (2023) -
Mitochondrial membrane models built from native lipid extracts: Interfacial and transport properties
por: Schiaffarino, Olivia, et al.
Publicado: (2022) -
Cryo-EM snapshots of a native lysate provide structural insights into a metabolon-embedded transacetylase reaction
por: Tüting, Christian, et al.
Publicado: (2021) -
Editorial: Machine Learning in Biomolecular Simulations
por: Verkhivker, Gennady, et al.
Publicado: (2019)