iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
نویسندگان
چکیده
منابع مشابه
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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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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Brucellosis, produced by Brucella species, is a disease that causes severe economic losses for livestock farms worldwide Due to serious economic and medical consequences of this disease, many efforts have been made to prevent the infection through the use of recombinant vaccines based on Brucella outer membrane protein (OMP) antigens. In the present study, a wide range of on-line prediction sof...
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Various tools have been developed to predict B-cell epitopes. We proposed a multistrategy approach by integrating two ensemble learning techniques, namely bagging and meta-decision tree, with a threshold-based cost-sensitive method. By exploiting the synergy among multiple retrainable inductive learners, it directly learns a tree-like classification architecture from the data, and is not limite...
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ژورنال
عنوان ژورنال: Frontiers in Immunology
سال: 2018
ISSN: 1664-3224
DOI: 10.3389/fimmu.2018.01695