2016
DOI: 10.1089/biores.2016.0035
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In silico Identification of Potential Peptides or Allergen Shot Candidates Against Aspergillus fumigatus

Abstract: Aspergillus fumigatus is capable of causing invasive aspergillosis or acute bronchopulmonary aspergillosis, and the current situation is alarming. There are no vaccine or allergen shots available for Aspergillus-induced allergies. Thus, a novel approach in designing of an effective vaccine or allergen shot candidate against A. fumigatus is needed. Using immunoinformatics approaches from the characterized A. fumigatus allergens, we have mapped epitopic regions to predict potential peptides that elicit both Aspe… Show more

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Cited by 10 publications
(5 citation statements)
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“…Furthermore, epitope mapping via immunoinformatics tools will exclude the non-antigenic regions of protein candidates, where only epitopes that stimulate B and T cells would be selected for the vaccine design, which would give a more potent immune response [ 77 ]. The approach of designing and validating a vaccine through a computational approach has been applied against many fungi such as Aspergillus fumigatus [ 78 ], Candida auris [ 79 ], and Candida albicans [ 18 ]. This approach had been validated with wet-lab experiments, and immunized mice were protected from fatal candidiasis [ 80 ].…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, epitope mapping via immunoinformatics tools will exclude the non-antigenic regions of protein candidates, where only epitopes that stimulate B and T cells would be selected for the vaccine design, which would give a more potent immune response [ 77 ]. The approach of designing and validating a vaccine through a computational approach has been applied against many fungi such as Aspergillus fumigatus [ 78 ], Candida auris [ 79 ], and Candida albicans [ 18 ]. This approach had been validated with wet-lab experiments, and immunized mice were protected from fatal candidiasis [ 80 ].…”
Section: Discussionmentioning
confidence: 99%
“…In silico assays, such as the use of artificial neural networks and immune epitope databases, facilitate the prediction of B cell epitopes and T cell MHC epitopes [119][120][121]. Subjecting A. fumigatus allergens to such analyses resulted in the identification of five potential allergic proteins (Asp f1, Asp f2, Asp f5, Asp f17, and Asp f34) with common B and T cell epitopes for both mice and humans [59]. Hence, these five proteins with high affinity binding to MHC class I or II epitopes could be used to characterize constituent peptides and develop vaccine candidates for invasive Aspergillus infections or therapeutics for allergy immunotherapy for chronic allergic bronchopulmonary aspergillosis.…”
Section: Aspergillosismentioning
confidence: 99%
“…Germination of Aspergilli conidia is the key step for the establishment of successful invasion or infection in human host. Knowledge on proteins from germinating conidia of Aspergilli will expedite the advancement in diagnosis, vaccine development, and/or drug target identification against Aspergilli associated infections (Thakur and Shankar, 2016b ; Tiwari et al, 2016 ). Different studies were carried out on germinating conidia of different Aspergillus species.…”
Section: Determinants To Exit Conidial Dormancymentioning
confidence: 99%