Improved Method for Linear B-Cell Epitope Prediction Using Antigen’s Primary Sequence

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Improved Method for Linear B-Cell Epitope Prediction Using Antigen’s Primary Sequence

One of the major challenges in designing a peptide-based vaccine is the identification of antigenic regions in an antigen that can stimulate B-cell's response, also called B-cell epitopes. In the past, several methods have been developed for the prediction of conformational and linear (or continuous) B-cell epitopes. However, the existing methods for predicting linear B-cell epitopes are far fr...

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To establish a relation between an protein amino acid sequence and its tendencies to generate antibody response, and to investigate an improved in silico method for linear B-cell epitope (LBE) prediction. We present a sequence-based LBE predictor developed using deep maxout network (DMN) with dropout training techniques. A graphics processing unit (GPU) was used to reduce the training time of t...

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B-cell Epitope Prediction

When a living organism encounters a pathogenic virus ormicrobe, the B cells of the immune system recognize the pathogen’s antigens by their membrane-bound immunoglobulin receptors and, in response, produce antibodies specific to these antigens. The term antigen refers to any entity—a cell, a macromolecular assembly, or a molecule—that may be bound by either a B-cell receptor or an antibody mole...

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ژورنال

عنوان ژورنال: PLoS ONE

سال: 2013

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0062216