Cargando…
Towards the prediction of non-peptidic epitopes
In-silico methods for the prediction of epitopes can support and improve workflows for vaccine design, antibody production, and disease therapy. So far, the scope of B cell and T cell epitope prediction has been directed exclusively towards peptidic antigens. Nevertheless, various non-peptidic molec...
Autores principales: | Zierep, Paul F., Vita, Randi, Blazeska, Nina, Moumbock, Aurélien F. A., Greenbaum, Jason A., Peters, Bjoern, Günther, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893639/ https://www.ncbi.nlm.nih.gov/pubmed/35180214 http://dx.doi.org/10.1371/journal.pcbi.1009151 |
Ejemplares similares
-
An immunologically friendly classification of non-peptidic ligands
por: Edwards, Lindy, et al.
Publicado: (2021) -
The Cancer Epitope Database and Analysis Resource (CEDAR)
por: Koşaloğlu-Yalçın, Zeynep, et al.
Publicado: (2022) -
Ontology Development for the Immune Epitope Database
por: Greenbaum, Jason A., et al.
Publicado: (2009) -
IEDB‐3D 2.0: Structural data analysis within the Immune Epitope Database
por: Mendes, Marcus, et al.
Publicado: (2023) -
The Immune Epitope Database 2.0
por: Vita, Randi, et al.
Publicado: (2010)