Understanding T-cell biology using artificial intelligence
PI: Johan Henriksson
Department of Molecular Biology
Johan Henriksson's own website: www.henlab.org
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.
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.
For more information, see the job advertisement here.
Photo credit: Mattias Petterson.