Motivation Due to the risk of inducing an immediate Type I (IgE-mediated) allergic response, proteins intended for use in consumer products must be investigated for their allergenic potential before introduction into the marketplace. The FAO/WHO guidelines for computational assessment of allergenic potential of proteins based on short peptide hits and linear sequence window identity thresholds misclassify many proteins as allergens. Results We developed AllerCatPro which predicts the allergenic potential of proteins based on similarity of their 3D protein structure as well as their amino acid sequence compared with a data set of known protein allergens comprising of 4180 unique allergenic protein sequences derived from the union of the major databases Food Allergy Research and Resource Program, Comprehensive Protein Allergen Resource, WHO/International Union of Immunological Societies, UniProtKB and Allergome. We extended the hexamer hit rule by removing peptides with high probability of random occurrence measured by sequence entropy as well as requiring 3 or more hexamer hits consistent with natural linear epitope patterns in known allergens. This is complemented with a Gluten-like repeat pattern detection. We also switched from a linear sequence window similarity to a B-cell epitope-like 3D surface similarity window which became possible through extensive 3D structure modeling covering the majority (74%) of allergens. In case no structure similarity is found, the decision workflow reverts to the old linear sequence window rule. The overall accuracy of AllerCatPro is 84% compared with other current methods which range from 51 to 73%. Both the FAO/WHO rules and AllerCatPro achieve highest sensitivity but AllerCatPro provides a 37-fold increase in specificity. Availability and implementation https://allercatpro.bii.a-star.edu.sg/ Supplementary information Supplementary data are available at Bioinformatics online.

Proteins in food and personal care products can pose a risk for an immediate immunoglobulin E (IgE)-mediated allergic response. Bioinformatic tools can assist to predict and investigate the allergenic potential of proteins. Here we present AllerCatPro 2.0, a web server that can be used to predict protein allergenicity potential with better accuracy than other computational methods and new features that help assessors making informed decisions. AllerCatPro 2.0 predicts the similarity between input proteins using both their amino acid sequences and predicted 3D structures towards the most comprehensive datasets of reliable proteins associated with allergenicity. These datasets currently include 4979 protein allergens, 162 low allergenic proteins, and 165 autoimmune allergens with manual expert curation from the databases of WHO/International Union of Immunological Societies (IUIS), Comprehensive Protein Allergen Resource (COMPARE), Food Allergy Research and Resource Program (FARRP), UniProtKB and Allergome. Various examples of profilins, autoimmune allergens, low allergenic proteins, very large proteins, and nucleotide input sequences showcase the utility of AllerCatPro 2.0 for predicting protein allergenicity potential. The AllerCatPro 2.0 web server is freely accessible at https://allercatpro.bii.a-star.edu.sg.

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The monoterpene ascaridole, a fairly stable endoperoxide found in essential oils such as tea tree oil can provoke allergic contact dermatitis which has been evidenced under patch test conditions. However, concomitantly we observed irritative skin reactions that demand further data underlining the sensitization potential of ascaridole. Here, we studied the effects of ascaridole on dendritic cell (DC) activation and protein reactivity, 2 key steps of chemical-induced skin sensitization. Treatment of human monocyte-derived DC with ascaridole found support for full DC maturation, a capability of sensitizers but not irritants. It induced significant upregulation of the expression of the costimulatory molecules CD86, CD80, CD40, and the adhesion molecule CD54 in a time-dependent manner. Maturation was accompanied by release of proinflammatory cytokines interleukin (IL)-1ß, tumor necrosis factor-α, IL-6, and IL-8. Similar to other chemical skin sensitizers including hydroperoxides, we observed a certain reactivity of ascaridole toward cysteine- but not lysine-containing peptides. During recent years, evidence accumulated for a radical mechanism as trigger for protein reactivity of peroxides. Treatment of the fairly stable endoperoxide ascaridole with iron as radical inducer ("activated ascaridole") resulted in cysteine peptide reactivity exceeding by far that of ascaridole itself. Furthermore, activated ascaridole showed increased potential for induction of the Nrf2 target gene heme oxygenase 1 and upregulation of CD86 and CD54 on THP-1 cells, an established DC surrogate. These results indicate that radical formation could be involved in the steps leading to skin sensitization induced by the endoperoxide ascaridole.