Cargando…
Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction
MOTIVATION: Loops are often vital for protein function, however, their irregular structures make them difficult to model accurately. Current loop modelling algorithms can mostly be divided into two categories: knowledge-based, where databases of fragments are searched to find suitable conformations...
Autores principales: | Marks, Claire, Nowak, Jaroslaw, Klostermann, Stefan, Georges, Guy, Dunbar, James, Shi, Jiye, Kelm, Sebastian, Deane, Charlotte M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408792/ https://www.ncbi.nlm.nih.gov/pubmed/28453681 http://dx.doi.org/10.1093/bioinformatics/btw823 |
Ejemplares similares
-
Length-independent structural similarities enrich the antibody CDR canonical class model
por: Nowak, Jaroslaw, et al.
Publicado: (2016) -
SAbPred: a structure-based antibody prediction server
por: Dunbar, James, et al.
Publicado: (2016) -
The H3 loop of antibodies shows unique structural characteristics
por: Regep, Cristian, et al.
Publicado: (2017) -
ABodyBuilder: Automated antibody structure prediction with data–driven accuracy estimation
por: Leem, Jinwoo, et al.
Publicado: (2016) -
iMembrane: homology-based membrane-insertion of proteins
por: Kelm, Sebastian, et al.
Publicado: (2009)