Tensegrity II. How structural networks influence cellular information processing networks

Tensegrity II. How structural networks influence cellular information processing networks.

The major challenge in biology today is biocomplexity: the need to explain how cell and tissue behaviors emerge from collective interactions within complex molecular networks. Part I of this two-part article, described a mechanical model of cell structure based on tensegrity architecture that explains how the mechanical behavior of the cell emerges from physical interactions among the different...

Tensegrity, Dynamic Networks and Complex Systems Biology: Emergence in Structural and Information Networks within Living Cells

Evolution of self-Maintaining cellular Information processing networks

Background This contribution is an extended abstract of (Decraene and McMullin, 2011). What we here term Cellular Information Processing Networks (CIPNs) are biochemical systems of interacting molecules occurring in living cells. CIPNs are responsible for coordinating cellular activities in response to internal and external stimuli (e.g., chemotaxis signalling pathways). CIPNs can be regarded a...

How neutral networks influence evolvability

Local Information in Influence Networks

We study how multi-hop information impacts convergence in social influence networks. In influence networks, nodes have a choice between two options A and B, and each node prefers to end up choosing the option that a majority of its neighbors choose. We consider the case of innovation adoption in which nodes can only change from A to B, but not backwards. For this model, we ask the question, whe...