Bioinformatic Techniques for Vaccine Development: Epitope Prediction and Structural Vaccinology

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Structural vaccinology involves characterizing the interactions between an antigen and antibodies or host immune receptors. Central to this is the task of epitope prediction, which involves describing the binding affinity and interactions of a given peptide typically to the major histocompatibility complex in the case of T-cells or to the antibodies in the case of B-cells. Several computational models exist for this purpose which we will review here. Generally, epitope predictions for MHC-I and MHC-II are substantially different tasks as well as epitope prediction for continuous versus discontinuous B-cell epitopes. Overall, these models suffer from overprediction of epitopes although general themes support both the use of neural networks as well as the incorporation of more abundant and more varied experimental annotation into model training as valuable in improving predictive performance.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages413-423
Number of pages11
DOIs
StatePublished - 2022

Publication series

NameMethods in Molecular Biology
Volume2412
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Epitope prediction
  • Neural network
  • Position-specific scoring matrix
  • Structural vaccinology

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Fingerprint

Dive into the research topics of 'Bioinformatic Techniques for Vaccine Development: Epitope Prediction and Structural Vaccinology'. Together they form a unique fingerprint.

Cite this