Cargando…
Amino acid biophysical properties in the statistical prediction of peptide-MHC class I binding
BACKGROUND: A key step in the development of an adaptive immune response to pathogens or vaccines is the binding of short peptides to molecules of the Major Histocompatibility Complex (MHC) for presentation to T lymphocytes, which are thereby activated and differentiate into effector and memory cell...
Autores principales: | Ray, Surajit, Kepler, Thomas B |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2186325/ https://www.ncbi.nlm.nih.gov/pubmed/17967170 http://dx.doi.org/10.1186/1745-7580-3-9 |
Ejemplares similares
-
In silico design of MHC class I high binding affinity peptides through motifs activation map
por: Xiao, Zhoujian, et al.
Publicado: (2018) -
Improving peptide-MHC class I binding prediction for unbalanced datasets
por: Sales, Ana Paula, et al.
Publicado: (2008) -
Evaluation of MHC class I peptide binding prediction servers: Applications for vaccine research
por: Lin, Hong Huang, et al.
Publicado: (2008) -
Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction
por: Han, Youngmahn, et al.
Publicado: (2017) -
An integrated approach to epitope analysis I: Dimensional reduction, visualization and prediction of MHC binding using amino acid principal components and regression approaches
por: Bremel, Robert D, et al.
Publicado: (2010)