MHC ligands and peptide motifs: first listing
By H. Rammensee, T. Friede, S. Stevanović. Immunogenetics, 2004
989 citations recorded by the source corpus.
Subfields: Immunology
View Paper: https://www.semanticscholar.org/paper/746b20150c2f07844499d319b9515d0e3583c75a
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In Immunology
- Pedro A. Reche
- Manoj Bhasin
- Ellis L. Reinherz
- Hong Zhang
- John-Paul Glutting
- Gajendra P. Raghava
- John Sidney
- Catherine J. Wu
Citations in the corpus
- Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction (2017, background): “Each HLA allele is estimated to bind and present 1,000–10,000 unique peptides to T cells (Hunt et al., 1992; Rammensee et al., 1995; Vita et al., 2015), less than 0.1% of the estimated 10 million potential 9-mer peptides from human protein-coding genes.”
- Enhancement to the RANKPEP resource for the prediction of peptide binding to MHC molecules using profiles (2004, methodology): “Peptides bound to the same MHC are related by sequence similarity (Falk et al. 1991; Rammensee et al. 1995) so that peptide binding patterns (Sette et al. 1989) as well as motif matrices (De Groot et al. 1997; Rammensee et al. 1999) have also been used for the prediction of peptide-MHC binding.”
- Prediction of MHC class I binding peptides, using SVMHC (2002, methodology): “This type of sequence patterns has been used as a simple prediction method [4].”
- Evidence of HIV-1 Adaptation to HLA-Restricted Immune Responses at a Population Level (2002, methodology): “Peptides that can be bound within an HLA molecule can be determined using three principle methods.(19) The first is by X-ray”
- Prediction of CTL epitopes using QM, SVM and ANN techniques. (2004, methodology): “These methods were successful in predicting MHC binders due to more specific binding of MHC and peptides [19].”