Cargando…
A Highly Effective System for Predicting MHC-II Epitopes With Immunogenicity
In the past decade, the substantial achievements of therapeutic cancer vaccines have shed a new light on cancer immunotherapy. The major challenge for designing potent therapeutic cancer vaccines is to identify neoantigens capable of inducing sufficient immune responses, especially involving major h...
Autores principales: | Xu, Shi, Wang, Xiaohua, Fei, Caiyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246415/ https://www.ncbi.nlm.nih.gov/pubmed/35785204 http://dx.doi.org/10.3389/fonc.2022.888556 |
Ejemplares similares
-
Computational mining of MHC class II epitopes for the development of universal immunogenic proteins
por: Saylor, Kyle, et al.
Publicado: (2022) -
Structural Properties of MHC Class II Ligands, Implications for the Prediction of MHC Class II Epitopes
por: Jørgensen, Kasper Winther, et al.
Publicado: (2010) -
Improved MHC II epitope prediction — a step towards personalized medicine
por: Moore, Tamson V., et al.
Publicado: (2019) -
The immunogenicity of a viral cytotoxic T cell epitope is controlled by its MHC-bound conformation
por: Tynan, Fleur E., et al.
Publicado: (2005) -
Integrative Analysis of HTNV Glycoprotein Derived MHC II Epitopes by In Silico Prediction and Experimental Validation
por: Sun, Hao, et al.
Publicado: (2021)