Cargando…
Automated identification of crystallographic ligands using sparse-density representations
A novel procedure for the automatic identification of ligands in macromolecular crystallographic electron-density maps is introduced. It is based on the sparse parameterization of density clusters and the matching of the pseudo-atomic grids thus created to conformationally variant ligands using math...
Autores principales: | Carolan, C. G., Lamzin, V. S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089483/ https://www.ncbi.nlm.nih.gov/pubmed/25004962 http://dx.doi.org/10.1107/S1399004714008578 |
Ejemplares similares
-
Automating crystallographic structure solution and refinement of protein–ligand complexes
por: Echols, Nathaniel, et al.
Publicado: (2013) -
Visual automated macromolecular model building
por: Langer, Gerrit G., et al.
Publicado: (2013) -
Determination of crystallographic intensities from sparse data
por: Ayyer, Kartik, et al.
Publicado: (2015) -
Crystallographic refinement of ligand complexes
por: Kleywegt, Gerard J.
Publicado: (2007) -
A knowledge-driven approach for crystallographic protein model completion
por: Joosten, Krista, et al.
Publicado: (2008)