منابع مشابه
Quantitative Prediction of Linear B-Cell Epitopes
In scientific literature, there are many programs that predict linear B-cell epitopes from a protein sequence. Each program generates multiple B-cell epitopes that can be individually studied. This paper defines a function called that combines results from five different prediction programs concerning the linear B-cell epitopes (ie., BebiPred, EPMLR, BCPred, ABCPred and Emini Prediction) fo...
متن کاملPredicting flexible length linear B-cell epitopes.
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...
متن کاملPrecise Predictions of Linear B Cell Epitopes in Protean 3D
B cell epitopes–the part of an antigen recognized by an antibody–are conformational in nature; however, accurately predicting these epitopes is difficult for proteins without a known three-dimensional (3D) structure. DNASTAR presents the NeoClone method, a machine learning approach that improves the ability to predict linear B cell epitopes (a peptide segment) using only sequence-based informat...
متن کاملIn Silico Prediction of Linear B-Cell Epitopes on Proteins.
Antibody-protein interactions play a critical role in the humoral immune response. B-cells secrete antibodies, which bind antigens (e.g., cell surface proteins of pathogens). The specific parts of antigens that are recognized by antibodies are called B-cell epitopes. These epitopes can be linear, corresponding to a contiguous amino acid sequence fragment of an antigen, or conformational, in whi...
متن کاملPredicting linear B-cell epitopes using string kernels.
The identification and characterization of B-cell epitopes play an important role in vaccine design, immunodiagnostic tests, and antibody production. Therefore, computational tools for reliably predicting linear B-cell epitopes are highly desirable. We evaluated Support Vector Machine (SVM) classifiers trained utilizing five different kernel methods using fivefold cross-validation on a homology...
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ژورنال
عنوان ژورنال: Southeast Europe Journal of Soft Computing
سال: 2018
ISSN: 2233-1859
DOI: 10.21533/scjournal.v6i2.144