Mathematics in Modern Immunology
Overview
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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.
Shou Y, Johnson S, Quek Y, Li X, Tay A Mater Today Bio. 2022; 14:100269.
PMID: 35514433 PMC: 9062348. DOI: 10.1016/j.mtbio.2022.100269.
Frattolin J, Watson D, Bonneuil W, Russell M, Fasanella Masci F, Bandara M Cells. 2021; 10(12).
PMID: 34943947 PMC: 8700135. DOI: 10.3390/cells10123439.
Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses.
Gaevert J, Luque Duque D, Lythe G, Molina-Paris C, Thomas P Viruses. 2021; 13(9).
PMID: 34578367 PMC: 8472275. DOI: 10.3390/v13091786.
Affinity Selection in Germinal Centers: Cautionary Tales and New Opportunities.
Faro J, Castro M Cells. 2021; 10(5).
PMID: 33924933 PMC: 8145379. DOI: 10.3390/cells10051040.
Testing structural identifiability by a simple scaling method.
Castro M, De Boer R PLoS Comput Biol. 2020; 16(11):e1008248.
PMID: 33141821 PMC: 7665633. DOI: 10.1371/journal.pcbi.1008248.