Embracing computational immunology

Pablo F Cañete; Zewen Kelvin Tuong

doi:10.1111/imcb.12817

Embracing computational immunology

Immunol Cell Biol. 2024 Sep;102(8):663-664. doi: 10.1111/imcb.12817.

Authors

Pablo F Cañete^{1

2}, Zewen Kelvin Tuong^{1

2}

Affiliations

¹ Frazer Institute, Faculty of Medicine, The University of Queensland, Woolloongabba, QLD, Australia.
² Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, South Brisbane, QLD, Australia.

PMID: 39356468
DOI: 10.1111/imcb.12817

Abstract

This Special Feature explores the fascinating field of Computational Immunology and features reviews on recent immunology research that used computational tools and concepts to understand the nexus of cancer immunology, autoimmunity and host-pathogen interactions.

Keywords: Computational immunology; omics; single cells; tumor–immune interactions.

Publication types

Editorial
Introductory Journal Article

MeSH terms

Allergy and Immunology* / trends
Animals
Autoimmunity
Computational Biology* / methods
Host-Pathogen Interactions* / immunology
Humans
Immunoinformatics
Neoplasms / immunology
Neoplasms / therapy