A benchmark dataset of protein antigens for antigenicity measurement.
Ontology highlight
ABSTRACT: Antigenicity measurement plays a fundamental role in vaccine design, which requires antigen selection from a large number of mutants. To augment traditional cross-reactivity experiments, computational approaches for predicting the antigenic distance between multiple protein antigens are highly valuable. The performance of in silico models relies heavily on large-scale benchmark datasets, which are scattered among public databases and published articles or reports. Here, we present the first benchmark dataset of protein antigens with experimental evidence to guide in silico antigenicity calculations. This dataset includes (1) standard haemagglutination-inhibition (HI) tests for 3,867 influenza A/H3N2 strain pairs, (2) standard HI tests for 559 influenza virus B strain pairs, and (3) neutral
SUBMITTER: Qiu T
PROVIDER: S-EPMC7338539 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA