Mathematics in modern immunology

Author:

Castro Mario1,Lythe Grant2,Molina-París Carmen2,Ribeiro Ruy M.3

Affiliation:

1. Universidad Pontificia Comillas, E28015 Madrid, Spain

2. Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, UK

3. Los Alamos National Laboratory, Theoretical Biology and Biophysics, Los Alamos, NM 87545, USA

Abstract

Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illustrate the benefits of modelling–experimental collaborations and that have proven valuable or even groundbreaking. We conclude that it is possible to find excellent examples of synergy between mathematical modelling and experiment in immunology, which have brought significant insight that would not be available without these collaborations, but that much remains to be discovered.

Funder

NIH Office of the Director

Seventh Framework Programme

Consejo Superior de Investigaciones Científicas

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

Reference156 articles.

1. Theodor Boveri

2. BMC Biology. 2014 Beyond Mendel: modeling in biology. See http://www.biomedcentral.com/bmcbiol/series/beyondmendel.

3. Immunology and mathematics: crossing the divide

4. Making sense in biology: an appreciation of Julian Lewis

5. The rise of computational biology

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