Malaria vaccine candidate antigens identified using reverse vaccinology

This is a landing page to navigate to the interactive tables related to datasets of malaria antigen candidates identified from the research conducted in the following papers:

• R. T. Chou, A. Ouattara, M. Adams, A. A. Berry, S. Takala-Harrison, and M. P. Cummings. Positive-unlabeled learning identifies vaccine candidate antigens in the malaria parasite Plasmodium falciparum. Under review by npj Systems Biology and Applications.

  Positive-unlabeled learning identifies vaccine candidate antigens in the malaria parasite.

  The table provides a summary of 52 known antigens (including 4 reference antigens) and the top 200 antigen candidates. It includes columns for protein IDs, probability scores, antigen/candidate groups, gene products, closest known antigens, distance to the closest antigens, gene essentiality, and single-cell gene expression at various life stages.

• R. T. Chou, A. Ouattara, S. Takala-Harrison, and M. P. Cummings. Plasmodium vivax antigen candidate prediction improves with the addition of Plasmodium falciparum data..

  Plasmodium vivax antigen candidate prediction improves with the addition of Plasmodium falciparum data.

  The table provides a summary of the top antigen candidates and the 90 known P. vivax and P. falciparum antigens, including the 7 reference antigens. The table contains columns for protein IDs, probability scores, antigen/candidate groups, gene products, closest known antigens, the source of the closest known antigen, and the distance to the closest antigens. Grey bars in the table show probability scores or closest euclidean distances, with values ranging from 0 to 1.

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