Footprints of antigen processing boost MHC class II natural ligand predictions
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Footprints of antigen processing boost MHC class II natural ligand predictions
Authors
Keywords
-
Journal
Genome Medicine
Volume 10, Issue 1, Pages -
Publisher
Springer Nature America, Inc
Online
2018-11-16
DOI
10.1186/s13073-018-0594-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Identification of the cognate peptide-MHC target of T cell receptors using molecular modeling and force field scoring
- (2018) Esteban Lanzarotti et al. MOLECULAR IMMUNOLOGY
- Computational Tools for the Identification and Interpretation of Sequence Motifs in Immunopeptidomes
- (2018) Bruno Alvarez et al. PROTEOMICS
- Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction
- (2017) Jennifer G. Abelin et al. IMMUNITY
- Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules
- (2017) Massimo Andreatta et al. IMMUNOLOGY
- NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data
- (2017) Vanessa Jurtz et al. JOURNAL OF IMMUNOLOGY
- Dominant protection from HLA-linked autoimmunity by antigen-specific regulatory T cells
- (2017) Joshua D. Ooi et al. NATURE
- Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
- (2017) Michal Bassani-Sternberg et al. PLoS Computational Biology
- The Dendritic Cell Major Histocompatibility Complex II (MHC II) Peptidome Derives from a Variety of Processing Pathways and Includes Peptides with a Broad Spectrum of HLA-DM Sensitivity
- (2016) Cristina C. Clement et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Unsupervised HLA Peptidome Deconvolution Improves Ligand Prediction Accuracy and Predicts Cooperative Effects in Peptide–HLA Interactions
- (2016) Michal Bassani-Sternberg et al. JOURNAL OF IMMUNOLOGY
- Analysis of the HLA-DR peptidome from human dendritic cells reveals high affinity repertoires and nonconventional pathways of peptide generation
- (2016) M. Teresa Ciudad et al. JOURNAL OF LEUKOCYTE BIOLOGY
- Current tools for predicting cancer-specific T cell immunity
- (2016) David Gfeller et al. OncoImmunology
- Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
- (2015) Massimo Andreatta et al. IMMUNOGENETICS
- Tapping CD4 T Cells for Cancer Immunotherapy: The Choice of Personalized Genomics
- (2015) Maurizio Zanetti JOURNAL OF IMMUNOLOGY
- Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry
- (2015) Etienne Caron et al. MOLECULAR & CELLULAR PROTEOMICS
- Mutant MHC class II epitopes drive therapeutic immune responses to cancer
- (2015) Sebastian Kreiter et al. NATURE
- Immunoinformatics and epitope prediction in the age of genomic medicine
- (2015) Linus Backert et al. Genome Medicine
- Different binding motifs of the celiac disease-associated HLA molecules DQ2.5, DQ2.2, and DQ7.5 revealed by relative quantitative proteomics of endogenous peptide repertoires
- (2014) Elin Bergseng et al. IMMUNOGENETICS
- The immune epitope database (IEDB) 3.0
- (2014) Randi Vita et al. NUCLEIC ACIDS RESEARCH
- Cancer Immunotherapy Based on Mutation-Specific CD4+ T Cells in a Patient with Epithelial Cancer
- (2014) E. Tran et al. SCIENCE
- Divergent paths for the selection of immunodominant epitopes from distinct antigenic sources
- (2014) AeRyon Kim et al. Nature Communications
- Pathways of Antigen Processing
- (2013) Janice S. Blum et al. Annual Review of Immunology
- HLA-DM and HLA-DO, key regulators of MHC-II processing and presentation
- (2013) Elizabeth D Mellins et al. CURRENT OPINION IN IMMUNOLOGY
- Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach
- (2012) Massimo Andreatta et al. BIOINFORMATICS
- Seq2Logo: a method for construction and visualization of amino acid binding motifs and sequence profiles including sequence weighting, pseudo counts and two-sided representation of amino acid enrichment and depletion
- (2012) Martin Christen Frølund Thomsen et al. NUCLEIC ACIDS RESEARCH
- NNAlign: A Web-Based Prediction Method Allowing Non-Expert End-User Discovery of Sequence Motifs in Quantitative Peptide Data
- (2011) Massimo Andreatta et al. PLoS One
- MHC Class II epitope predictive algorithms
- (2010) Morten Nielsen et al. IMMUNOLOGY
- Selection of representative protein data sets
- (2010) Uwe Hobohm et al. PROTEIN SCIENCE
- A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach
- (2008) Peng Wang et al. PLoS Computational Biology
- In SilicoTools for Predicting Peptides Binding to HLA-Class II Molecules: More Confusion than Conclusion
- (2007) Uthaman Gowthaman et al. JOURNAL OF PROTEOME RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now