Cargando…
CrossDome: an interactive R package to predict cross-reactivity risk using immunopeptidomics databases
T-cell-based immunotherapies hold tremendous potential in the fight against cancer, thanks to their capacity to specifically targeting diseased cells. Nevertheless, this potential has been tempered with safety concerns regarding the possible recognition of unknown off-targets displayed by healthy ce...
Autores principales: | Fonseca, Andre F., Antunes, Dinler A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291144/ https://www.ncbi.nlm.nih.gov/pubmed/37377956 http://dx.doi.org/10.3389/fimmu.2023.1142573 |
Ejemplares similares
-
PepSim: T-cell cross-reactivity prediction via comparison of peptide sequence and peptide-HLA structure
por: Hall-Swan, Sarah, et al.
Publicado: (2023) -
Large-Scale Structure-Based Screening of Potential T Cell Cross-Reactivities Involving Peptide-Targets From BCG Vaccine and SARS-CoV-2
por: Tarabini, Renata Fioravanti, et al.
Publicado: (2022) -
Interpreting T-Cell Cross-reactivity through Structure: Implications for TCR-Based Cancer Immunotherapy
por: Antunes, Dinler A., et al.
Publicado: (2017) -
The yin/yang balance of the MHC-self-immunopeptidome
por: Santambrogio, Laura, et al.
Publicado: (2022) -
Immunoprecipitation methods impact the peptide repertoire in immunopeptidomics
por: Wacker, Marcel, et al.
Publicado: (2023)