Accuracy of protein allergenicity prediction can be improved by taking into account data on allergenic protein discontinuous peptides

2013 ◽  
Vol 31 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Anatoly O. Bragin ◽  
Pavel S. Demenkov ◽  
Nickolay A. Kolchanov ◽  
Vladimir A. Ivanisenko
Keyword(s):  
Allergenic Protein ◽  
Protein Allergenicity ◽  
Allergenicity Prediction ◽  
Protein Allergenicity Prediction

scholarly journals WebAllergen: a web-based database for protein allergenicity prediction

2018 ◽  
Vol 46 (2) ◽  
pp. 233
Author(s):  
So Youn Won ◽  
Jeong-Ho Baek ◽  
Jae-Hyeon Oh ◽  
Gang-Seob Lee ◽  
Yong-Hwan Kim ◽  
...  
Keyword(s):  
Web Based ◽  
Protein Allergenicity ◽  
Allergenicity Prediction ◽  
Protein Allergenicity Prediction

scholarly journals Relationship between Phenolic Compounds, Antioxidant Properties, and the Allergenic Protein Mal d 1 in Different Selenium-Biofortified Apple Cultivars (Malus domestica)

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2647
Author(s):  
Sabrina Groth ◽  
Christoph Budke ◽  
Timo Weber ◽  
Susanne Neugart ◽  
Sven Brockmann ◽  
...  
Keyword(s):  
Phenolic Compounds ◽  
Antioxidant Properties ◽  
Total Phenolic ◽  
Allergenic Protein ◽  
Antibody Recognition ◽  
Allergenic Potential ◽  
Allergenic Proteins ◽  
Other Substances ◽  
Mal D 1 ◽  
Apple Cultivars

Notable parts of the population in Europe suffer from allergies towards apples. To address this health problem, the analysis of the interactions of relevant allergens with other substances such as phenolic compounds is of particular importance. The aim of this study was to evaluate the correlations between the total phenolic content (TPC), polyphenol oxidase (PPO) activity, antioxidant activity (AOA), and the phenolic compound profile and the content of the allergenic protein Mal d 1 in six apple cultivars. It was found that the PPO activity and the content of individual phenolic compounds had an influence on the Mal d 1 content. With regard to the important constituents, flavan-3-ols and phenolic acids, it was found that apples with a higher content of chlorogenic acid and a low content of procyanidin trimers and/or epicatechin had a lower allergenic potential. This is probably based on the reaction of phenolic compounds (when oxidized by the endogenous PPO) with proteins, thus being able to change the conformation of the (allergenic) proteins, which further corresponds to a loss of antibody recognition. When apples were additionally biofortified with selenium, the composition of the apples, with regard to TPC, phenolic profile, AOA, and PPO, was significantly affected. Consequently, this innovative agronomic practice seems to be promising for reducing the allergenic potential of apples.

scholarly journals Predicting Immunogenicity Risk in Biopharmaceuticals

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 388
Author(s):  
Nikolet Doneva ◽  
Irini Doytchinova ◽  
Ivan Dimitrov
Keyword(s):  
Machine Learning Algorithms ◽  
Computational Tools ◽  
Binding Motifs ◽  
B Cell Epitopes ◽  
Crucial Step ◽  
Histocompatibility Complex ◽  
Alignment Algorithms ◽  
Experimental Approaches ◽  
Dynamics Simulations ◽  
Allergenicity Prediction

The assessment of immunogenicity of biopharmaceuticals is a crucial step in the process of their development. Immunogenicity is related to the activation of adaptive immunity. The complexity of the immune system manifests through numerous different mechanisms, which allows the use of different approaches for predicting the immunogenicity of biopharmaceuticals. The direct experimental approaches are sometimes expensive and time consuming, or their results need to be confirmed. In this case, computational methods for immunogenicity prediction appear as an appropriate complement in the process of drug design. In this review, we analyze the use of various In silico methods and approaches for immunogenicity prediction of biomolecules: sequence alignment algorithms, predicting subcellular localization, searching for major histocompatibility complex (MHC) binding motifs, predicting T and B cell epitopes based on machine learning algorithms, molecular docking, and molecular dynamics simulations. Computational tools for antigenicity and allergenicity prediction also are considered.

Investigating the Role of Glycosylation on Protein Allergenicity

2009 ◽  
Vol 123 (3) ◽  
pp. 724
Author(s):  
R.J. Almond ◽  
B.F. Flanagan ◽  
I. Kimber ◽  
R.J. Dearman
Keyword(s):  
Protein Allergenicity

scholarly journals Assessment of the Sensitizing Potential of Proteins in BALB/c Mice: Comparison of Three Protocols of Intraperitoneal Sensitization

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 903 ◽  
Author(s):  
Jesús Arámburo-Galvez ◽  
Norberto Sotelo-Cruz ◽  
Lilian Flores-Mendoza ◽  
Martina Gracia-Valenzuela ◽  
Francisco Chiquete-Elizalde ◽  
...  
Keyword(s):  
Milk Proteins ◽  
Serum Levels ◽  
Specific Ige ◽  
Cow Milk ◽  
Sample Collection ◽  
Igg Antibody ◽  
Allergenic Protein ◽  
Ige Antibodies ◽  
Undetectable Serum ◽  
Specific Ige Antibodies

Most food allergy cases are associated with a limited group of allergens. This could be attributed to an increased ability of some foods to sensitize and trigger allergic reactions. However, there are no validated animal models to evaluate the sensitizing or allergenic potentials of proteins. Our aim was to evaluate three protocols of adjuvant-free intraperitoneal sensitization that differ in the time points for sample collection (days 14, 28 and 35 from beginning of the sensitization) and also in the number of immunizations (2, 5 and 3, respectively). Ovalbumin (OVA; 0.05 mg), cow milk proteins (CMP; 0.025, 0.05 and 0.25 mg), and potato acid phosphatase (PAP; low allergenic protein; 250.0 mg) were administered intraperitoneally (ip) to BALB/c mice (n = 4–6) and the protein-specific IgE and IgG antibody responses were evaluated using ELISA. Additional serum protein-specific IgE antibodies evaluations were carried out after IgG depletion. Anti-OVA IgE antibodies were detected in mice from all three protocols. The responses were higher in the group of mice that underwent the 28-day protocol than in those that underwent the 14- or 35-day protocols (p < 0.01 and p < 0.05, respectively). Anti-CMP IgE antibodies were detected in both the 14- and 28-day protocols, but the response was higher in the group that underwent the 28-day protocol (p < 0.001). The anti-CMP IgE antibody response detection was improved after serum IgG depletion (p < 0.001). Anti-PAP IgE antibodies were not detected. Mice with undetectable serum levels of protein-specific IgE triggered anti-OVA, -CMP, and -PAP IgG responses. An adjuvant-free 28-day protocol with five ip immunizations seems appropriate for evaluation of the inherent sensitizing or allergenic capacity of the studied proteins. Reproducible results were obtained utilizing the BALB/c mouse strain. Inter-laboratory studies including a larger number of proteins should be carried out to validate this model.

Sign in / Sign up

Export Citation Format

Share Document