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dc.contributor.author
Costa, Juan Gabriel
dc.contributor.author
Faccendini, Pablo Luis
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Sferco, Silvano Juan
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Lagier, Claudia Marina
dc.contributor.author
Marcipar, Ivan Sergio
dc.date.available
2016-06-06T21:00:08Z
dc.date.issued
2013-06
dc.identifier.citation
Costa, Juan Gabriel; Faccendini, Pablo Luis; Sferco, Silvano Juan; Lagier, Claudia Marina; Marcipar, Ivan Sergio; Evaluation and Comparison of the Ability of Online Available Prediction Programs to Predict True Linear B-cell Epitopes; Bentham Science Publishers; Protein And Peptide Letters; 20; 6; 6-2013; 724-730
dc.identifier.issn
0929-8665
dc.identifier.uri
http://hdl.handle.net/11336/6058
dc.description.abstract
This work deals with the use of predictors to identify useful B-cell linear epitopes to develop immunoassays. Experimental techniques to meet this goal are quite expensive and time consuming. Therefore, we tested 5 free, online prediction methods (AAPPred, ABCpred, BcePred, BepiPred and Antigenic) widely used for predicting linear epitopes, using the primary structure of the protein as the only input. We chose a set of 65 experimentally well documented epitopes obtained by the most reliable experimental techniques as our true positive set. To compare the quality of the predictor methods we used their positive predictive value (PPV), i.e. the proportion of the predicted epitopes that are true, experimentally confirmed epitopes, in relation to all the epitopes predicted. We conclude that AAPPred and ABCpred yield the best results, as compared with the other programs and with a random prediction procedure. Our results also indicate that considering the consensual epitopes predicted by several programs does not improve the PPV.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Bentham Science Publishers
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Diagnostic
dc.subject
Epitope
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Prediction
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Inmunochemistry
dc.subject.classification
Química Orgánica
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Ciencias Químicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Evaluation and Comparison of the Ability of Online Available Prediction Programs to Predict True Linear B-cell Epitopes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-06-01T13:51:09Z
dc.journal.volume
20
dc.journal.number
6
dc.journal.pagination
724-730
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Oak Park
dc.description.fil
Fil: Costa, Juan Gabriel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Tecnología Inmunológica; Argentina
dc.description.fil
Fil: Faccendini, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
dc.description.fil
Fil: Sferco, Silvano Juan. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Departamento de Física; Argentina
dc.description.fil
Fil: Lagier, Claudia Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
dc.description.fil
Fil: Marcipar, Ivan Sergio. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Tecnología Inmunológica; Argentina
dc.journal.title
Protein And Peptide Letters
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.eurekaselect.com/109291/article
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.2174/0929866511320060011
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.2174/0929866511320060011
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