ArticleClinical & developmental immunology2013
Prediction of IL4 inducing peptides.
Article in Clinical & developmental immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers.
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Who cites it
216 citing papers in PubMed.
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- Immunoinformatics-guided design of a conserved multi-epitope vaccine candidate against pathogenic human coronaviruses.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Computational structural dynamics and immunoinformatic analysis of EIEC IpaHMolecular diversity · 2026Article
- Subtractive Proteomics and Immunoinformatics-Guided Design of a Multi-Epitope Vaccine Against Aspergillus fumigatus.Probiotics and antimicrobial proteins · 2026Article
- Designing of a conserved subunit multiepitope vaccine candidate against Francisella tularensis Schu S4 using immunoinformatics.Scientific reports · 2026Article
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- Combating Streptococcus agalactiae infections by designing a multi-epitope vaccine using molecular dynamic simulations.Journal, genetic engineering & biotechnology · 2026Article
- Computational design and immunoinformatics validation of a T cell multi-epitope vaccine targeting glioblastoma stem cells.Scientific reports · 2026Article
- Cytokine-driven immunogenicity prediction: integrating HLA binding and cytokine induction.Briefings in bioinformatics · 2026Article
- In silico design and immunogenicity evaluation of a multi-epitope vaccine against EV-A71.Journal of computer-aided molecular design · 2026Article
- Computational Design of an mRNA Vaccine Targeting LRP6 for Triple-Negative Breast Cancer Therapy.Cancer reports (Hoboken, N.J.) · 2026Article
- A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity.Genomics & informatics · 2026Article
- Prediction of potential NS3-based T cell epitopes of hepatitis C virus by in-silico and in-vitro approach.Scientific reports · 2026Article
- In silico design of a novel multi-epitope mRNA vaccine candidate for BtHKU5-CoV-2 using immunoinformatics.PLoS neglected tropical diseases · 2026Article
- Trivalent multi-epitope mRNA vaccine against norovirus, rotavirus, and adenovirus 40/41: epitope screening, molecular docking, and molecular dynamics simulation with in silico validation guided by immunoinformatics.Infectious diseases of poverty · 2026Article
- Multi-Epitope DNA-Based Feline Immunodeficiency Virus Vaccine Construct Designed by Immunoinformatic and Machine Learning Tools as a Surrogate Model for HIV Vaccine Development.Pathogens (Basel, Switzerland) · 2026Article
- Identification and evaluation of tumor pyroptosis-associated antigens for design a vaccine candidate against lung cancer.Scientific reports · 2026Article
156 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The secretion of Interleukin-4 (IL4) is the characteristic of T-helper 2 responses. IL4 is a cytokine produced by CD4+ T cells in response to helminthes and other extracellular parasites. It has a critical role in guiding antibody class switching, hematopoiesis and inflammation, and the development of appropriate effector T-cell responses. In this study, it is the first time an attempt has been made to understand whether it is possible to predict IL4 inducing peptides. The data set used in this study comprises 904 experimentally validated IL4 inducing and 742 noninducing MHC class II binders. Our analysis revealed that certain types of residues are preferred at certain positions in IL4 inducing peptides. It was also observed that IL4 inducing and noninducing epitopes differ in compositional and motif pattern. Based on our analysis we developed classification models where the hybrid method of amino acid pairs and motif information performed the best with maximum accuracy of 75.76% and MCC of 0.51. These results indicate that it is possible to predict IL4 inducing peptides with reasonable precession. These models would be useful in designing the peptides that may induce desired Th2 response.
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