MHC-NP: predicting peptides naturally processed by the MHC.
J Immunol Methods
; 400-401: 30-6, 2013 Dec 31.
Article
en En
| MEDLINE
| ID: mdl-24144535
We present MHC-NP, a tool for predicting peptides naturally processed by the MHC pathway. The method was part of the 2nd Machine Learning Competition in Immunology and yielded state-of-the-art accuracy for the prediction of peptides eluted from human HLA-A*02:01, HLA-B*07:02, HLA-B*35:01, HLA-B*44:03, HLA-B*53:01, HLA-B*57:01 and mouse H2-D(b) and H2-K(b) MHC molecules. We briefly explain the theory and motivations that have led to developing this tool. General applicability in the field of immunology and specifically epitope-based vaccine are expected. Our tool is freely available online and hosted by the Immune Epitope Database at http://tools.immuneepitope.org/mhcnp/.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Péptidos
/
Programas Informáticos
/
Inteligencia Artificial
/
Mapeo Epitopo
/
Complejo Mayor de Histocompatibilidad
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Animals
/
Humans
Idioma:
En
Revista:
J Immunol Methods
Año:
2013
Tipo del documento:
Article
Pais de publicación:
Países Bajos