Coupling in silico and in vitro analysis of peptide-MHC binding: a bioinformatic approach enabling prediction of superbinding peptides and anchorless epitopes.
The ability to define and manipulate the interaction of peptides with MHC molecules has immense immunological utility, with applications in epitope identification, vaccine design, and immunomodulation. However, the methods currently available for prediction of peptide-MHC binding are far from ideal....
Main Authors: | Doytchinova, I, Walshe, V, Jones, N, Gloster, SE, Borrow, P, Flower, DR |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2004
|
Similar Items
-
Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.
by: Walshe, V, et al.
Published: (2009) -
Empirical, AI, and QSAR approaches to peptide-MHC binding prediction
by: Hattotuwagama, C, et al.
Published: (2007) -
Towards the chemometric dissection of peptide--HLA-A*0201 binding affinity: comparison of local and global QSAR models.
by: Doytchinova, I, et al.
Published: (2005) -
Analysis of peptide-protein binding using amino acid descriptors: prediction and experimental verification for human histocompatibility complex HLA-A0201.
by: Guan, P, et al.
Published: (2005) -
Discovery of HLA-E-presented epitopes: MHC-E/Peptide binding and t-cell recognition
by: Ruibal, P, et al.
Published: (2022)