ArticleNucleic acids research2006
SVMHC: a server for prediction of MHC-binding peptides.
Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Computational Methods in Immunoinformatics: Epitope Discovery and Diagnostic Applications.ACS omega · 2025Review
- Framework for analyzing MAE-derived immunopeptidomes from cell lines with shared HLA haplotypes.PloS one · 2025Article
- Advances of computational methods enhance the development of multi-epitope vaccines.Briefings in bioinformatics · 2024Review
- Allergies to Allergens from Cats and Dogs: A Review and Update on Sources, Pathogenesis, and Strategies.International journal of molecular sciences · 2024Review
- Advanced strategies for development of vaccines against human bacterial pathogens.World journal of microbiology & biotechnology · 2021Review
- Deimmunization of protein therapeutics - Recent advances in experimental and computational epitope prediction and deletion.Computational and structural biotechnology journal · 2021Review
- SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.Journal for immunotherapy of cancer · 2020Article
- Computational Modeling and Analysis to Predict Intracellular Parasite Epitope Characteristics Using Random Forest Technique.Iranian journal of public health · 2020Article
- POTN: A Human Leukocyte Antigen-A2 Immunogenic Peptides Screening Model and Its Applications in Tumor Antigens Prediction.Frontiers in immunology · 2020Article
- Postgenomic Approaches and Bioinformatics Tools to Advance the Development of Vaccines against Bacteria of theVaccines · 2018Review
- Prediction of T-cell epitopes for designing a reverse vaccine against streptococcal bacteria.Molecular biology research communications · 2018Article
- PSSMHCpan: a novel PSSM-based software for predicting class I peptide-HLA binding affinity.GigaScience · 2017Article
- Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation.PloS one · 2015Article
- Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning.PloS one · 2015Article
- Machine Learning Methods for Predicting HLA-Peptide Binding Activity.Bioinformatics and biology insights · 2015Review
- Prediction and characterization of helper T-cell epitopes from pneumococcal surface adhesin A.Immunology · 2014Article
- Preclinical models used for immunogenicity prediction of therapeutic proteins.Pharmaceutical research · 2013Review
- Resistance-associated epitopes of HIV-1C-highly probable candidates for a multi-epitope vaccine.Immunogenetics · 2012Article
- POPISK: T-cell reactivity prediction using support vector machines and string kernels.BMC bioinformatics · 2011Article
- PAComplex: a web server to infer peptide antigen families and binding models from TCR-pMHC complexes.Nucleic acids research · 2011Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of MHC-binding peptides is a prerequisite in rational design of T-cell based peptide vaccines. During the past decade a number of computational approaches have been introduced for the prediction of MHC-binding peptides, efficiently reducing the number of candidate binders that need to be experimentally verified. Here the SVMHC server for prediction of both MHC class I and class II binding peptides is presented. SVMHC offers fast analysis of a wide range of alleles and prediction results are given in several comprehensive formats. The server can be used to find the most likely binders in a protein sequence and to investigate the effects of single nucleotide polymorphisms in terms of MHC-peptide binding. The SVMHC server is accessible at http://www-bs.informatik.uni-tuebingen.de/SVMHC/.
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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.