The talk will outline recent work by the Department of Chemistry in developing microfluidic platforms for studying proteins in their native environment in solution. Our speaker, Prof Tuomas Knowles, will discuss some specific features of microfluidics which open up new possibilities for protein characterisation. He will show examples where this platform has allowed them to probe particularly challenging and heterogeneous protein systems.
He will then focus on their efforts to translate this technology into instrumentation usable by the wider community through a start-up company, Fluidic Analytics
About Professor Tuomas Knowles
Professor Knowles holds a personal Professorship in the Department of Chemistry and at the Cavendish Laboratory at the University of Cambridge and is also a Fellow of St John’s College Cambridge. His current research interests are focused on using physical approaches to study the self-assembly of protein molecules both in the context of biological function and malfunction.
About Fluidic Analytics
We envision a world where information about proteins and their behaviour transforms our understanding of how the biological world operates, and helps all of us make better decisions about how we diagnose diseases, develop treatments and maintain our personal well-being
Agenda
5.00pm: Registration
5.30pm: Prof Tuomas Knowles, followed by Q&A.
6.30pm: Networking
7pm: Event closes
This talk is organised by the Maxwell Centre and Cambridge Network in a series called 'From discovery science to industrial applications'
To book:
This event is FREE to anyone to attend but prior booking is essential so we know how many people are coming. Please log or create and account first (see Register/Login above) using the links at the top of this page. Then return to this event page and click Book Now! Alternatively, please contact us.
Key Contacts:
You can also contact engagement-coordinator@maxwell.cam.ac.uk or Louise.Rushworth@cambridgenetwork.co.uk
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You can follow @CambNetwork on Twitter and tweet about this event using #CNMaxwell.
