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CBTOPE: Identification of conformational B-cell Epitopes in an antigen from its primary sequence

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Zenodo2026-05-08 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.20088373
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CBTOPE is the first computational method developed to predict conformational B-cell epitopes in an antigen from its primary amino acid sequence. This resource is particularly valuable for vaccine design, as most B-cell epitopes are conformational (discontinuous) and identifying them usually requires knowledge of the antigen's tertiary structure, which is not always available. Web Server: http://webs.iiitd.edu.in/raghava/cbtope/ About the Research Predicting B-cell epitopes is a fundamental challenge in immunoinformatics and vaccine development. While several methods exist to predict epitopes from 3D structures, CBTOPE allows researchers to identify these regions when only the protein sequence is known. Dataset: The models were trained and tested on 187 non-redundant protein chains containing 2,261 antibody-interacting residues. Methodology: The tool utilizes Support Vector Machine (SVM) models based on the Composition Profile of Patterns (CPP).
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Zenodo
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2026-05-08
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