Interpreting Negative Data on Antipeptide Paratope Binding to Support Development of B-Cell Epitope Prediction for Vaccine Design and Other Translational Applications
Author:
Affiliation:
1. University of the Philippines Manila, Manila, Philippines
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3233547.3233627
Reference3 articles.
1. Hybrid Methods for B-Cell Epitope Prediction
2. S. E. Caoili . 2015. An integrative structure-based framework for predicting biological effects mediated by antipeptide antibodies. J. Immunol. Methods Vol. 427 (Dec . 2015) 19--29. {PubMed:hrefhttps://www.ncbi.nlm.nih.gov/pubmed/2641010326410103}. S. E. Caoili . 2015. An integrative structure-based framework for predicting biological effects mediated by antipeptide antibodies. J. Immunol. Methods Vol. 427 (Dec . 2015) 19--29. {PubMed:hrefhttps://www.ncbi.nlm.nih.gov/pubmed/2641010326410103}.
3. Expressing Redundancy among Linear-Epitope Sequence Data Based on Residue-Level Physicochemical Similarity in the Context of Antigenic Cross-Reaction
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