University of Cambridge > Talks.cam > Microsoft Research Cambridge, public talks > High-throughput, Multiscale modelling approaches for understanding bacterial signalling

High-throughput, Multiscale modelling approaches for understanding bacterial signalling

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Bacterial chemoreceptor proteins respond to local nutrients and toxins through binding events in receptor domains in the periplasm, causing a conformational change which is propagated into the cell where it triggers a signalling event through downstream effectors and ultimately changes in bacterial motion. Though the biophysical mechanism of signalling through the membrane has been studied extensively through a range of approaches, including mutagenesis of the transmembrane region, the precise mechanism is still unclear. Here I describe a novel high throughput approach to molecular dynamics simulation of transmembrane helices in a bilayer, where the process of building, running and analysing simulations across a cluster is entirely automated. Using this approach, I have been able to identify the role for small (0.15 nm) swinging-piston motions in carrying signals across the membrane. Alongside this, I describe simulations of complete 22 nm chemoreceptor models in a range of realistic environments, from model bilayers to 70 nm vesicles. Taken together, these approaches allow me to propose a mechanism of signal transduction across the membrane.

This talk is part of the Microsoft Research Cambridge, public talks series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity