SOURCE-LINKED INTELLIGENCE

The geometrical and physical basis of cell-like functionality

CORDIS · observation · Publication date unknown

evelop projection techniques that reduce the model to the two-dimensional manifold of the membrane. Building on my expertise with protein pattern formation I will design coarse-graining methods using machine learning concepts to link scales. These theories will give unprecedented insights into the relative role of reaction networks, membrane elasticity, and mechanochemical feedback in forming different types of protein patterns and membrane morphologies. Moreover, they will provide an efficient computational platform, which I will use to in-silico explore the potential of supported lipid bilayers with adhering liposomes as a platform to generate functions such as cell migration, cell division, and collective cell-cell communication. This will lead to theoretical insights into the mechanistic principles of the emergent behavior of these systems, make specific predictions for established bottom-up experimental model systems, and provide innovative suggestions for the rational design of systems with targeted functionalities. Theoretical physics, nonequilibrium dynamics, self-organizat

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

2498813

unit

EUR