Benchmarking

Benchmarking has been done against VaxiJen [2] and Vaxign-ML [1] using Gram Positive and Gram Negative bacterial datasets.

1. Ong, E., Wang, H., Wong, M.U., Seetharaman, M., Valdez, N. and He, Y., 2020. Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens. Bioinformatics, 36(10), pp.3185-3191.

2. Doytchinova, I.A. and Flower, D.R., 2007. VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines. BMC bioinformatics, 8(1), p.4.

The dataset used for benchmarking consisted of 7 known viral PVCs that were manually curated.

The dataset used for benchmarking consisted of 14 known protozoan PVCs that were manually curated.

The dataset used for benchmarking consisted of 4 known fungal PVCs that were manually curated.