Messi lends his name to an algorithm for analyzing biological systems.
Argentine mathematician Alicia Dickenstein borrowed the name of one of her most famous compatriots to name the type of biological system whose state changes can be analyzed using algebraic geometry: MESSI (an acronym for Modifications of type Enzyme-Substrate or Swap with Intermediates). She was one of the invited speakers at the World Meeting of Women in Mathematics (WM) 2 .
A professor at the University of Buenos Aires, Dickenstein is also vice-president of the International Mathematical Union. She is the author of both books aimed at specialists, such as "Algorithms in Algebraic Geometry" (Springer, 2008), and works that aim to remove mathematics' reputation as a bogeyman among children, such as "Mate Max" (2005). None of her books have been translated into Portuguese in Brazil.
In systems with Messi-like characteristics, it is possible to use the system's network structure to create algorithms that predict conservation and persistence relationships, as well as capacity and regions of multistationarity, or variation of the system's states.
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“Algebraic-geometric and combinatorial methods allow us to predict some dynamic behaviors of our model from its structure, without simulations and without knowing the precise parameters,” says his presentation. They are multidisciplinary: they borrow tools from dynamical systems, algebraic geometry, and biochemistry, among others.
At the end of her lecture, she invited the congress participants to submit articles to two academic journals on whose editorial board she participates: the “ SIAM Journal on Applied Algebra and Geometry ” and the “ Revista de la Unión Matemática Argentina ”.