A Simple Method for Predicting Cancer Specific Cell Surface Epitopes
نویسندگان
چکیده
منابع مشابه
Improved method for predicting linear B-cell epitopes
BACKGROUND B-cell epitopes are the sites of molecules that are recognized by antibodies of the immune system. Knowledge of B-cell epitopes may be used in the design of vaccines and diagnostics tests. It is therefore of interest to develop improved methods for predicting B-cell epitopes. In this paper, we describe an improved method for predicting linear B-cell epitopes. RESULTS In order to do...
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Accurate prediction of B-cell epitopes has remained a challenging task in computational immunology despite several decades of research. Only 10% of the known B-cell epitopes are estimated to be continuous, yet they are often the targets of predictors because a solved tertiary structure is not required and they are integral to the development of peptide vaccines and engineering therapeutic prote...
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Identifying B-cell epitopes play an important role in vaccine design, immunodiagnostic tests, and antibody production. Therefore, computational tools for reliably predicting B-cell epitopes are highly desirable. We explore two machine learning approaches for predicting flexible length linear B-cell epitopes. The first approach utilizes four sequence kernels for determining a similarity score be...
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Major Histocompatibility Complex (MHC) plays a key role in immune response by presenting antigenic peptides, which are recognizable to T-cells. Identifying MHCbinding peptides is crucial to understand pathogenesis and develop corresponding vaccines. Direct identification of MHC-binding peptides by biological assays is laborious and expensive, because of the huge size (20) of potential combinati...
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ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2016
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2015.11.1751