Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies
Abstract Predicting the structure of large molecular assemblies remains a challenging task in structural biology when using integrative modeling approaches. One of the main issues stems from the treatment of heterogeneous experimental data used to predict the architecture of native complexes. We pro...
Guardado en:
Autores principales: | Giorgio Tamò, Andrea Maesani, Sylvain Träger, Matteo T. Degiacomi, Dario Floreano, Matteo Dal Peraro |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e29bb2fc464449f9869ec21e95a8eb67 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dual chaperone role of the C-terminal propeptide in folding and oligomerization of the pore-forming toxin aerolysin.
por: Ioan Iacovache, et al.
Publicado: (2011) -
A Framework for Stochastic Optimization of Parameters for Integrative Modeling of Macromolecular Assemblies
por: Satwik Pasani, et al.
Publicado: (2021) -
A quantitative test of Hamilton's rule for the evolution of altruism.
por: Markus Waibel, et al.
Publicado: (2011) -
Macromolecular symposia
Publicado: (1994) -
Disentangling direct from indirect co-evolution of residues in protein alignments.
por: Lukas Burger, et al.
Publicado: (2010)