The Quantitative Biology program of the Institut Pasteur is intended to facilitate research and education at the interface of biology and the more quantitative sciences. One of the major aims of Quantitative Biology is thus to understand the underlying principles of complex biological behavior in terms of physical and mathematical models. This approach overarches all fields of biology.



Qbio Symposia

• October 17th 2017: “Kick off meeting” of the Qbio program (Guillaume Duménil, Sven van Teeffelen)
• June 9th 2017: “Forces in Biology” (Romain Levayer, Nicolas Dray, Sandrine Etienne-Manneville, Patrick England, Alexandre Dufour).
• May 25th 2018: “Physics of Biological Membranes” (Thomas Wollert (IP), Patricia Bassereau (Curie))
• October 11-12 2018: Neural networks – from machines to brains (David Di Gregorio, JB Masson, and Christoph Schmidt-Hieber (IP), Rémi Monasson (ENS))
• January 2019: Quantitative cell biology of bacteria (Guillaume Duménil, Sven van Teeffelen)

Quantitative biology at the Institut Pasteur

Many Pasteur laboratories are integrating physical approaches in their studies ranging from structural biology, via cell biology, to infection, neurobiology  and development.
• Multiscale self-organization is studied at the level of protein machineries in bacteria,  cytoskeleton during the migration of eucaryotic cells and organizaton of tissues during development.
• Cellular and tissue mechanics are explored during bacterial aggregation,  grastrulation and heart development as well as during amoebae movement.
• Information processing and signaling are studied in the context of neurobiology, 3D genome architecture and transciption.

Objectives of the Qbio program at Institut Pasteur

The Quantitative Biology program aims to encourage these developments on campus. The major purpose of this program is:
• To foster interactions between scientists involved in Quantitative Biology at Institut Pasteur through seminars and mini-symposiums.
• To bring quantitatively trained scientists into biology
• To encourage biologists to integrate quantitative models into their research

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