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Mathematics in modern immunology

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

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.

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

Interface Focus. Volumen: 6 Numero: 2 Páginas: 20150093-1-20150093-14

Índice de impacto JCR y cuartil Scopus: 2.693 - Q2 (2016); 3.165 - Q2 (2017).

Referencia DOI: DOI icon 10.1098/rsfs.2015.0093    

Publicado en papel: Abril 2016. Publicado on-line: Febrero 2016.

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, Abril 2016. [Online: Febrero 2016]

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