Physical properties of intact proteins may predict allergenicity or lack thereof.

BACKGROUND:Predicting the allergenicity of proteins is challenging. We considered the possibility that the properties of the intact protein that may alter the likelihood of being taken up by antigen presenting cells, may be useful adjuncts in predicting allergens and non-allergens in silico. It has...

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Main Authors: Suchita Singh, Bhupesh Taneja, Sundeep Santosh Salvi, Anurag Agrawal
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-07-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2707619?pdf=render
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spelling doaj-cf0a54f3a8c74c1ba217e90decdd05302020-11-25T00:42:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032009-07-0147e627310.1371/journal.pone.0006273Physical properties of intact proteins may predict allergenicity or lack thereof.Suchita SinghBhupesh TanejaSundeep Santosh SalviAnurag AgrawalBACKGROUND:Predicting the allergenicity of proteins is challenging. We considered the possibility that the properties of the intact protein that may alter the likelihood of being taken up by antigen presenting cells, may be useful adjuncts in predicting allergens and non-allergens in silico. It has been shown that negatively charged acidic proteins are preferentially processed by dendritic cells. METHODOLOGY:Datasets (aeroallergen, food-allergen and non-allergen) for in-silico study were obtained from public databases. Isoelectric point (pI), net charge, and electrostatic potential (EP) were calculated from the protein sequence (for pI and net charge) or predicted structure (for EP). RESULT:Allergens and non allergens differed significantly in pI, net charge, and EP (p<0.0001). Cluster analysis based on these parameters resulted in well defined clusters. Non-allergens were characterized by neutral to basic pI (mean+/-SE, 7.6+/-0.16) and positive charge. In contrast allergens were acidic (5.7+/-0.15) and negatively charged. Surface electrostatic potentials calculated from predicted structures were mostly negative for allergens and mostly positive for non-allergens. The classification accuracy for non-allergens was superior to that for allergens. Thus neutral to basic pI, positive charge, and positive electrostatic potentials characterize non-allergens, and seem rare in allergens (p<0.0001). It may be possible to predict reduced likelihood of allergenicity in such proteins, but this needs to be prospectively validated.http://europepmc.org/articles/PMC2707619?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Suchita Singh
Bhupesh Taneja
Sundeep Santosh Salvi
Anurag Agrawal
spellingShingle Suchita Singh
Bhupesh Taneja
Sundeep Santosh Salvi
Anurag Agrawal
Physical properties of intact proteins may predict allergenicity or lack thereof.
PLoS ONE
author_facet Suchita Singh
Bhupesh Taneja
Sundeep Santosh Salvi
Anurag Agrawal
author_sort Suchita Singh
title Physical properties of intact proteins may predict allergenicity or lack thereof.
title_short Physical properties of intact proteins may predict allergenicity or lack thereof.
title_full Physical properties of intact proteins may predict allergenicity or lack thereof.
title_fullStr Physical properties of intact proteins may predict allergenicity or lack thereof.
title_full_unstemmed Physical properties of intact proteins may predict allergenicity or lack thereof.
title_sort physical properties of intact proteins may predict allergenicity or lack thereof.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2009-07-01
description BACKGROUND:Predicting the allergenicity of proteins is challenging. We considered the possibility that the properties of the intact protein that may alter the likelihood of being taken up by antigen presenting cells, may be useful adjuncts in predicting allergens and non-allergens in silico. It has been shown that negatively charged acidic proteins are preferentially processed by dendritic cells. METHODOLOGY:Datasets (aeroallergen, food-allergen and non-allergen) for in-silico study were obtained from public databases. Isoelectric point (pI), net charge, and electrostatic potential (EP) were calculated from the protein sequence (for pI and net charge) or predicted structure (for EP). RESULT:Allergens and non allergens differed significantly in pI, net charge, and EP (p<0.0001). Cluster analysis based on these parameters resulted in well defined clusters. Non-allergens were characterized by neutral to basic pI (mean+/-SE, 7.6+/-0.16) and positive charge. In contrast allergens were acidic (5.7+/-0.15) and negatively charged. Surface electrostatic potentials calculated from predicted structures were mostly negative for allergens and mostly positive for non-allergens. The classification accuracy for non-allergens was superior to that for allergens. Thus neutral to basic pI, positive charge, and positive electrostatic potentials characterize non-allergens, and seem rare in allergens (p<0.0001). It may be possible to predict reduced likelihood of allergenicity in such proteins, but this needs to be prospectively validated.
url http://europepmc.org/articles/PMC2707619?pdf=render
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