Un modèle mathématique pour l’étude des interactions bactériennes en biofilm

Martin, Bénédicte; Mahé, Fabrice

doi:10.1051/medsci/20173312006

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2017

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“…Il peut en effet être intéressant de révéler que les connaissances biologiques prises en compte pour la modélisation étaient insuffisantes. La modélisation n'est donc pas une fin en soi, mais une approche qui sera associée en parallèle, à des études de biologie[11] (➜). À l'heure actuelle, les équations différentielles ordinaires (EDO) représentent l'outil le plus largement utilisé pour les modélisations en biologie.…”

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La modélisation mathématique, un outil essentiel pour l’étude du ciblage thérapeutique des tumeurs solides

Saidak

Giacobbi

Morisse³

et al. 2017

Med Sci (Paris)

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Recent progress in biology has made the study of the medical treatment of cancer more effective, but it has also revealed the large complexity of carcinogenesis and cell signaling. For many types of cancer, several therapeutic targets are known and in some cases drugs against these targets exist. Unfortunately, the target proteins often work in networks, resulting in functional adaptation and the development of resilience/resistance to medical treatment. The use of mathematical modeling makes it possible to carry out system-level analyses for improved study of therapeutic targeting in solid tumours. We present the main types of mathematical models used in cancer research and we provide examples illustrating the relevance of these approaches in molecular oncobiology.

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