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Understanding T-cell biology using artificial intelligence

Henriksson Johan 5551 190411 MPN webPI: Johan Henriksson
Department of Molecular Biology
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T cell systems biology

T cells are a vital part of the adaptive immune response. It detects the pathogen type and mounts a response accordingly; these can be viruses, bacteria, worms and cancer. In the recent years and increasingly, modulation of the immune system has been recognized as one of most important ways of curing cancer. To improve on this toolbox it is important to understand exactly how T cells work.

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Our group approaches this question by trying to find a joint top down and bottoms up approach. T cells are well studied but no unified model exists that explains how all the many processes interact. We are trying to reshape the way we do biology by developing a new toolbox. How do we do mechanistic biological research at scale? How do we handle promiscous and moonlighting proteins? How do we quantitative pinpoint which process is most important and when? Can we teach the computer to generate mechanistic hypotheses to test? How can we do biology if we never will have enough information about the system?What do we need to build a grand unified theory of biology?

We approach the big questions to figure out the small details.



Are you a physicist, a mathematician, a programmer or a very techy biologist? Want to see how far we model the most complex system (un)known to mankind? This lab might be the place for you! Send CV to Johan and tell us what you might want to do: This email address is being protected from spambots. You need JavaScript enabled to view it.

For more information, see the job advertisement here.

 Photo credit: Mattias Petterson.

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