Mathematics in modern immunology

M. Castro, G. Lythe, C. Molina-Paris, R.M. Ribeiro

Interface Focus Vol. 6, nº. 2, pp. 20150093-1 - 20150093-14

Summary:
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.

Keywords: Diversity; Immunology; Mathematical modelling; T cell; T-cell receptor; Two-photon microscopy

JCR Impact Factor and WoS quartile: 2,693 - Q1 (2016); 4,400 - Q1 (2022)

DOI reference: https://doi.org/10.1098/rsfs.2015.0093

Published on paper: April 2016.

Published on-line: February 2016.

Citation:
M. Castro, G. Lythe, C. Molina-Paris, R.M. Ribeiro Mathematics in modern immunology. Interface Focus. Vol. 6, nº. 2, pp. 20150093-1 - 20150093-14, April 2016. [Online: February 2016]