Research – University of Copenhagen

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Center for Models of Life > Research

In the Center for Models of Life, we develop physics models that allow us to build a quantitative understanding of computation and communication in biological systems.

Networks are common themes in complex systems research, ranging from the regulation of actions in the simplest viruses to ecological and social systems. Our approach is to model regulative networks of living systems, including analysis of the physical mechanism of interactions, the dynamics of information transfer along signaling pathways, as well as modeling slower evolutionary changes in the networks. Our ambition is to quantify life as a dynamic and evolving system composed of networks of interacting parts with a history.


Collective behavior in cell communities
Biological signaling and regulation of cell growth and state may extend across space, combining local action of some molecules with the spatially extended action of molecules.

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Self organization of Diversity
At all scales, biology presents an astounding diversity of discrete states or species, which coexist over time-scales much longer than the characteristic times of the underlying degrees of freedom.

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Regulatory dynamics and feedbacks Protein production in living cells is a huge process, which depends on external conditions, stress, and also coupled to the ability of genetically identical cells to behave differently.

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Epigenetics
Cells carry information handed down from their ancestors and are able to pass on information to their descendants. In many cases this "memory" is epigenetic -- not stored in the DNA sequence.

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