Cargando…
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins
Intrinsic disorder (ID) in proteins is well-established in structural biology, with increasing evidence for its involvement in essential biological processes. As measuring dynamic ID behavior experimentally on a large scale remains difficult, scores of published ID predictors have tried to fill this...
Autores principales: | Del Conte, Alessio, Bouhraoua, Adel, Mehdiabadi, Mahta, Clementel, Damiano, Monzon, Alexander Miguel, Tosatto, Silvio C E, Piovesan, Damiano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320102/ https://www.ncbi.nlm.nih.gov/pubmed/37246642 http://dx.doi.org/10.1093/nar/gkad430 |
Ejemplares similares
-
RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles
por: Clementel, Damiano, et al.
Publicado: (2022) -
INGA 2.0: improving protein function prediction for the dark proteome
por: Piovesan, Damiano, et al.
Publicado: (2019) -
SODA: prediction of protein solubility from disorder and aggregation propensity
por: Paladin, Lisanna, et al.
Publicado: (2017) -
INGA: protein function prediction combining interaction networks, domain assignments and sequence similarity
por: Piovesan, Damiano, et al.
Publicado: (2015) -
The RING 2.0 web server for high quality residue interaction networks
por: Piovesan, Damiano, et al.
Publicado: (2016)