Comput Biol Chem - Identification of putative and potential cross-reactive chickpea (Cicer arietinum) allergens through an in silico approach.

Tópicos

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Resumo

CKGROUND: Allergy has become a key cause of morbidity worldwide. Although many legumes (plants in the Fabaceae family) are healthy foods, they may have a number of allergenic proteins. A number of allergens have been identified and characterized in Fabaceae family, such as soybean and peanut, on the basis of biochemical and molecular biological approaches. However, our understanding of the allergens from chickpea (Cicer arietinum L.), belonging to this family, is very limited.OBJECTIVE: In this study, we aimed to identify putative and cross-reactive allergens from Chickpea (C. arietinum) by means of in silico analysis of the chickpea protein sequences and allergens sequences from Fabaceae family.METHODS: We retrieved known allergen sequences in Fabaceae family from the IUIS Allergen Nomenclature Database. We performed a protein BLAST (BLASTp) on these sequences to retrieve the similar sequences from chickpea. We further analyzed the retrieved chickpea sequences using a combination of in silico tools, to assess them for their allergenicity potential. Following this, we built structure models using FUGUE: Sequence-structure homology; these models generated by the recognition tool were viewed in Swiss-PDB viewer.RESULTS: Through this in silico approach, we identified seven novel putative allergens from chickpea proteome sequences on the basis of similarity of sequence, structure and physicochemical properties with the known reported legume allergens. Four out of seven putative allergens may also show cross reactivity with reported allergens since potential allergens had common sequence and structural features with the reported allergens.CONCLUSION: The in silico proteomic identification of the allergen proteins in chickpea provides a basis for future research on developing hypoallergenic foods containing chickpea. Such bioinformatics approaches, combined with experimental methodology, will help delineate an efficient and comprehensive approach to assess allergenicity and pave the way for a better understanding of the biological and medical basis of the same.

Resumo Limpo

ckground allergi becom key caus morbid worldwid although mani legum plant fabacea famili healthi food may number allergen protein number allergen identifi character fabacea famili soybean peanut basi biochem molecular biolog approach howev understand allergen chickpea cicer arietinum l belong famili limitedobject studi aim identifi putat crossreact allergen chickpea c arietinum mean silico analysi chickpea protein sequenc allergen sequenc fabacea familymethod retriev known allergen sequenc fabacea famili iui allergen nomenclatur databas perform protein blast blastp sequenc retriev similar sequenc chickpea analyz retriev chickpea sequenc use combin silico tool assess allergen potenti follow built structur model use fugu sequencestructur homolog model generat recognit tool view swisspdb viewerresult silico approach identifi seven novel putat allergen chickpea proteom sequenc basi similar sequenc structur physicochem properti known report legum allergen four seven putat allergen may also show cross reactiv report allergen sinc potenti allergen common sequenc structur featur report allergensconclus silico proteom identif allergen protein chickpea provid basi futur research develop hypoallergen food contain chickpea bioinformat approach combin experiment methodolog will help delin effici comprehens approach assess allergen pave way better understand biolog medic basi

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