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EpiDope: a deep neural network for linear B-cell epitope prediction

https://doi.org/10.1093/bioinformatics/btaa773
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28/28 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 28 checked references that resolve
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BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes
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Structural analysis of B-cell epitopes in antibody:protein complexes
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resolves10.3389/fimmu.2018.01695
iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
resolves10.1016/S0140-6736(16)30164-7
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Improved Method for Linear B-Cell Epitope Prediction Using Antigen’s Primary Sequence
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The 5 references without a DOI — listed, not checked
no DOI — not checked2023051706080608200_btaa773-B2
no DOI — not checked2023051706080608200_btaa773-B3
no DOI — not checkedScikit-learn: machine learning in Python
no DOI — not checked2023051706080608200_btaa773-B1567104
no DOI — not checkedConformational B-cell epitopes prediction from sequences using cost-sensitive ensemble classifiers and spatial clustering
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