ArticleNature communications2020
Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
- The Ratio of Immunogenicity: A quantitative metric to identify highly immunogenic protein antigens to improve tissue-engineered biomaterials.Biomaterials · 2026Article
- Molecular origin, discovery, validation and application of neoantigens.Asian journal of pharmaceutical sciences · 2026Review
- AI-driven computational methods and benchmarking for T-cell antigen identification.Briefings in bioinformatics · 2026Review
- EpiMII: Structure-Aware Graph Neural Networks for MHC-II Epitope Generation.Research (Washington, D.C.) · 2026Article
- DSCA-HLAII: A dual-stream cross-attention model for predicting peptide-HLA class II interaction and presentation.PLoS computational biology · 2026Article
- A microenvironment-driven HLA-II-associated insulin neoantigen elicits persistent memory T cell activation in diabetes.Nature immunology · 2026Article
- High-throughput screening for class I peptide MHC binding via yeast surface display.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A yeast surface display platform for characterizing CAR T cell responses to cancer antigens.Nature communications · 2025Article
- Sliding Window Interaction Grammar (SWING): a generalized interaction language model for peptide and protein interactions.Nature methods · 2025Article
- Identifying T cell antigen at the atomic level with graph convolutional network.Nature communications · 2025Article
- OnmiMHC: a machine learning solution for UCEC tumor vaccine development through enhanced peptide-MHC binding prediction.Frontiers in immunology · 2025Article
- Neoantigen-specific T cell help outperforms non-specific help in multi-antigen DNA vaccination against cancer.Molecular therapy. Oncology · 2024Article
- Energy landscapes of peptide-MHC binding.PLoS computational biology · 2024Article
- TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning.Briefings in bioinformatics · 2024Article
- Mass Spectrometry-Based Immunopeptidomics of Peptides Presented on Human Leukocyte Antigen Proteins.Methods in molecular biology (Clifton, N.J.) · 2024Article
- An integrated approach to the characterization of immune repertoires using AIMS: An Automated Immune Molecule Separator.PLoS computational biology · 2023Article
- High-throughput characterization of HLA-E-presented CD94/NKG2x ligands reveals peptides which modulate NK cell activation.Nature communications · 2023Article
- HLA-II immunopeptidome profiling and deep learning reveal features of antigenicity to inform antigen discovery.Immunity · 2023Article
- TransMHCII: a novel MHC-II binding prediction model built using a protein language model and an image classifier.Antibody therapeutics · 2023Article
- Evolution by innovation as a driving force to improve TCR-T therapies.Frontiers in oncology · 2023Review
Corrections and comments
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Authors and funding
3 authors.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.