ArticleFrontiers in immunology2017
IL17eScan: A Tool for the Identification of Peptides Inducing IL-17 Response.
Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 57 citations in OpenAlex.
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- Uncovering the potential virulence factors of emerging pathogens using AI/ML-based tools: a case study inFrontiers in cellular and infection microbiology · 2025Article
- A hybrid method for discovering interferon-gamma inducing peptides in human and mouse.Scientific reports · 2024Article
- MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides.Briefings in bioinformatics · 2024Article
- Antiprotozoal peptide prediction using machine learning with effective feature selection techniques.Heliyon · 2024Article
- Design of a Multi-Epitope Vaccine againstJournal of fungi (Basel, Switzerland) · 2024Article
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- Designing of multi-epitope peptide vaccine against Acinetobacter baumannii through combined immunoinformatics and protein interaction-based approaches.Immunologic research · 2023Article
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- A Web-Based Method for the Identification of IL6-Based Immunotoxicity in Vaccine Candidates.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2.Briefings in bioinformatics · 2022Article
- Computational design and characterization of a multiepitope vaccine against carbapenemase-producingComputational and structural biotechnology journal · 2022Article
- Computational Tools and Strategies to Develop Peptide-Based Inhibitors of Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2022Review
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- Immunoinformatic construction of an adenovirus-based modular vaccine platform and its application in the design of a SARS-CoV-2 vaccine.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020Article
- BIPEP: Sequence-based Prediction of Biofilm Inhibitory Peptides Using a Combination of NMR and Physicochemical Descriptors.ACS omega · 2020Article
- Systems vaccinology and big data in the vaccine development chain.Immunology · 2019Review
- PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine.Frontiers in microbiology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
IL-17 cytokines are pro-inflammatory cytokines and are crucial in host defense against various microbes. Induction of these cytokines by microbial antigens has been investigated in the case of ischemic brain injury, gingivitis, candidiasis, autoimmune myocarditis, etc. In this study, we have investigated the ability of amino acid sequence of antigens to induce IL-17 response using machine-learning approaches. A total of 338 IL-17-inducing and 984 IL-17 non-inducing peptides were retrieved from Immune Epitope Database. 80% of the data were randomly selected as training dataset and rest 20% as validation dataset. To predict the IL-17-inducing ability of peptides/protein antigens, different sequence-based machine-learning models were developed. The performance of support vector machine (SVM) and random forest (RF) was compared with different parameters to predict IL-17-inducing epitopes (IIEs). The dipeptide composition-based SVM-model displayed an accuracy of 82.4% with Matthews correlation coefficient = 0.62 at polynomial (
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