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Dynamic Systems and Computational Virology, new CSIC Associated Unit at I2SysBio
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Dynamic Systems and Computational Virology, new CSIC Associated Unit at I2SysBio
Image based on a drawing by J. Mariano Collante
With the creation of this associated unit, the Institute of Integrative Systems Biology (I2SysBio) aims to strengthen the interdisciplinarity of the institute, making it possible for physicists and mathematicians to approach fundamental biological problems.
The Higher Council for Scientific Research (CSIC) has approved the creation of a new Associated Unit (UA) called Dynamic Systems and Computational Virology (SDVC). This new UA is initially configured by Santiago Elena, CSIC research professor at I2SysBio and Tomás Alarcón (ICREA research professor) and Josep Sardanyés (researcher of the Ramón y Cajal program) from the Center de Recerca Matemàtica (CRM), a consortium of the Institut d'Estudis Catalans, the Generalitat de Catalunya and the Autonomous University of Barcelona.
The creation of this UA is based on a scientific collaboration in recent years that has explored a complementation between computational and experimental approaches to the study of the evolutionary dynamics of RNA viruses. This complementation has been bidirectional.
In the direction from mathematics to virology, through the development of mathematical and simulation models that have generated testable hypotheses about the dynamic properties of viral populations that have subsequently been evaluated experimentally in the laboratory.
In the direction from virology to mathematics, when experimental observations were not intuitive, through the design of simulation models that reproduced in silico the experiments and allow us to postulate what parameters and variables were the most relevant.
With the creation of this UA, I2SysBio aims to strengthen the interdisciplinarity of the institute, increasing both directions of work and making it possible for physicists and mathematicians to approach fundamental biological problems, while scientists training in the areas of life sciences have access to the approaches of mathematical modeling and computational simulation.
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