Modeling the immune response to HIV infection

Jessica M. Conway, Ruy M. Ribeiro

Research output: Contribution to journalReview article

4 Scopus citations

Abstract

The interplay between immune response and HIV is intensely studied via mathematical modeling, with significant insights but few direct answers. In this short review, we highlight advances and knowledge gaps across different aspects of immunity. In particular, we identify the innate immune response and its role in priming the adaptive response as ripe for modeling. The latter have been the focus of most modeling studies, but we also synthesize key outstanding questions regarding effector mechanisms of cellular immunity and development of broadly neutralizing antibodies. Thus far, most modeling studies aimed to infer general immune mechanisms; we foresee that significant progress will be made next by detailed quantitative fitting of models to data, and prediction of immune responses.

Original languageEnglish (US)
Pages (from-to)61-69
Number of pages9
JournalCurrent Opinion in Systems Biology
Volume12
DOIs
StatePublished - Dec 2018

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Drug Discovery
  • Computer Science Applications
  • Applied Mathematics

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