Ontological representation, modeling, and analysis of parasite vaccines.

Journal: Journal of biomedical semantics
PMID: 38664818

Abstract

BACKGROUND: Pathogenic parasites are responsible for multiple diseases, such as malaria and Chagas disease, in humans and livestock. Traditionally, pathogenic parasites have been largely an evasive topic for vaccine design, with most successful vaccines only emerging recently. To aid vaccine design, the VIOLIN vaccine knowledgebase has collected vaccines from all sources to serve as a comprehensive vaccine knowledgebase. VIOLIN utilizes the Vaccine Ontology (VO) to standardize the modeling of vaccine data. VO did not model complex life cycles as seen in parasites. With the inclusion of successful parasite vaccines, an update in parasite vaccine modeling was needed.

Authors

  • Anthony Huffman
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States.
  • Xumeng Zhang
    Department of Electrical and Computer Engineering, University of Massachusetts, 100 Natural Resources Road, Amherst, Massachusetts, 01003, USA.
  • Meghana Lanka
    College of Literature, Science, and the Arts, University of Michigan, 48109, Ann Arbor, MI, USA.
  • Jie Zheng
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • Anna Maria Masci
    Department of Immunology, Duke University, Durham, North Carolina, United States of America.
  • Yongqun He
    University of Michigan Medical School, Ann Arbor, MI 48109 USA ; Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, and Comprehensive Cancer Center, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Dr., Ann Arbor, MI 48109 USA.

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