ArticleJournal of immunological methods2011
MULTIPRED2: a computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles.
Article in Journal of immunological methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 62 citations in OpenAlex.
- AI-driven neoantigen identification: a comprehensive review from somatic variant calling to T cell recognition.Journal of translational medicine · 2026Review
- Research progress of dengue virus T cell epitope mediated cellular immunity in avoiding ADE.Frontiers in immunology · 2026Review
- Advances of computational methods enhance the development of multi-epitope vaccines.Briefings in bioinformatics · 2024Review
- Computational immunogenomic approaches to predict response to cancer immunotherapies.Nature reviews. Clinical oncology · 2024Review
- Multi-epitope vaccines: a promising strategy against viral diseases in swine.Frontiers in cellular and infection microbiology · 2024Review
- The screening, identification, design and clinical application of tumor-specific neoantigens for TCR-T cells.Molecular cancer · 2023Review
- Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens.Journal of chemical theory and computation · 2023Review
- Review
- Neoantigen-specific TCR-T cell-based immunotherapy for acute myeloid leukemia.Experimental hematology & oncology · 2022Review
- Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review.Pathogens (Basel, Switzerland) · 2022Review
- Predicted MHC peptide binding promiscuity explains MHC class I 'hotspots' of antigen presentation defined by mass spectrometry eluted ligand data.Immunology · 2018Article
- Mapping HLA-A2, -A3 and -B7 supertype-restricted T-cell epitopes in the ebolavirus proteome.BMC genomics · 2018Article
- Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure.Frontiers in microbiology · 2018Article
- Analysis of viral diversity for vaccine target discovery.BMC medical genomics · 2017Article
- Fundamentals and Methods for T- and B-Cell Epitope Prediction.Journal of immunology research · 2017Review
- Circulating Memory CD4+ T Cells Target Conserved Epitopes of Rhinovirus Capsid Proteins and Respond Rapidly to Experimental Infection in Humans.Journal of immunology (Baltimore, Md. : 1950) · 2016Article
- Recombinant and epitope-based vaccines on the road to the market and implications for vaccine design and production.Human vaccines & immunotherapeutics · 2016Article
- Antigenic Determinants of the Bilobal Cockroach Allergen Bla g 2.The Journal of biological chemistry · 2016Article
- A Novel Peptide Binding Prediction Approach for HLA-DR Molecule Based on Sequence and Structural Information.BioMed research international · 2016Article
- αβ TCR-mediated recognition: relevance to tumor-antigen discovery and cancer immunotherapy.Cancer immunology research · 2015Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
MULTIPRED2 is a computational system for facile prediction of peptide binding to multiple alleles belonging to human leukocyte antigen (HLA) class I and class II DR molecules. It enables prediction of peptide binding to products of individual HLA alleles, combination of alleles, or HLA supertypes. NetMHCpan and NetMHCIIpan are used as prediction engines. The 13 HLA Class I supertypes are A1, A2, A3, A24, B7, B8, B27, B44, B58, B62, C1, and C4. The 13 HLA Class II DR supertypes are DR1, DR3, DR4, DR6, DR7, DR8, DR9, DR11, DR12, DR13, DR14, DR15, and DR16. In total, MULTIPRED2 enables prediction of peptide binding to 1077 variants representing 26 HLA supertypes. MULTIPRED2 has visualization modules for mapping promiscuous T-cell epitopes as well as those regions of high target concentration - referred to as T-cell epitope hotspots. Novel graphic representations are employed to display the predicted binding peptides and immunological hotspots in an intuitive manner and also to provide a global view of results as heat maps. Another function of MULTIPRED2, which has direct relevance to vaccine design, is the calculation of population coverage. Currently it calculates population coverage in five major groups in North America. MULTIPRED2 is an important tool to complement wet-lab experimental methods for identification of T-cell epitopes. It is available at http://cvc.dfci.harvard.edu/multipred2/.
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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.