ReviewMethods (San Diego, Calif.)2014
Structure of allergens and structure based epitope predictions.
Review in Methods (San Diego, Calif.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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.
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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
39 citing papers in PubMed.
- Deciphering Allergen Peptides for Dermatological and Cosmetic Applications with Explainable Artificial Intelligence.Journal of proteome research · 2026Article
- Engineering Epitope-Specific IgY Antibodies to Neutralize the Major Fel d 1 Allergen in Cats.International journal of molecular sciences · 2026Article
- Article
- Human IgE monoclonal antibodies define two unusual epitopes trapping dog allergen Can f 1 in different conformations.Protein science : a publication of the Protein Society · 2025Article
- Article
- Cancer stem cells: Bridging microenvironmental interactions and clinical therapy.Clinical and translational medicine · 2025Review
- Molecular Allergology: Epitope Discovery and Its Application for Allergen-Specific Immunotherapy of Food Allergy.Clinical reviews in allergy & immunology · 2025Review
- B-cell epitope prediction for developing allergy vaccines and their companion immunodiagnostics.Frontiers in immunology · 2025Article
- The antioxidant barrier, oxidative/nitrosative stress, and protein glycation in allergy: from basic research to clinical practice.Frontiers in immunology · 2024Review
- Impact of Semiochemicals Binding to Fel d 1 on Its 3D Conformation and Predicted B-Cell Epitopes Using Computational Approaches.International journal of molecular sciences · 2023Article
- Food Allergens of Plant Origin.Foods (Basel, Switzerland) · 2023Review
- NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity prediction.Bioinformatics advances · 2023Article
- Are Physicochemical Properties Shaping the Allergenic Potency of Plant Allergens?Clinical reviews in allergy & immunology · 2022Review
- Characterization of Relevant Biomarkers for the Diagnosis of Food Allergies: An Overview of the 2S Albumin Family.Foods (Basel, Switzerland) · 2021Article
- IgE-binding residues analysis of the house dust mite allergen Der p 23.Scientific reports · 2021Article
- Article
- Structural Aspects of the Allergen-Antibody Interaction.Frontiers in immunology · 2020Review
- Conformational selection of allergen-antibody complexes-surface plasticity of paratopes and epitopes.Protein engineering, design & selection : PEDS · 2019Article
- Future research trends in understanding the mechanisms underlying allergic diseases for improved patient care.Allergy · 2019Review
- AllerCatPro-prediction of protein allergenicity potential from the protein sequence.Bioinformatics (Oxford, England) · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The structure determination of major allergens is a prerequisite for analyzing surface exposed areas of the allergen and for mapping conformational epitopes. These may be determined by experimental methods including crystallographic and NMR-based approaches or predicted by computational methods. In this review we summarize the existing structural information on allergens and their classification in protein fold families. The currently available allergen-antibody complexes are described and the experimentally obtained epitopes compared. Furthermore we discuss established methods for linear and conformational epitope mapping, putting special emphasis on a recently developed approach, which uses the structural similarity of proteins in combination with the experimental cross-reactivity data for epitope prediction.
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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.