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The research at the Bioinformatics division is focused on development of methods to analyse and understand biological data.

Thirteen researchers at Linköping University have advanced in their academic careers by becoming associate professors (docents) at the Faculty of Science and Engineering.

The AI tool Alphafold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating experimental data into the tool.

Björn Forsberg is the latest addition to the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). He is now setting up his own research at LiU, creating new methods for analyzing data from cryo-electron microscopes.

Cells in the immune system of patients with multiple sclerosis behave differently from those of healthy individuals. LiU researchers have exploited this difference to develop a method that can predict disease activity in multiple sclerosis.

Many currently used drugs are ineffective for treating complex diseases. However, modern biology today generates enormous amounts of inexpensive, accurate, high-throughput data (‘omics), at several molecular levels.§

Research within this area has a broad scientific profile, sharing a common core of mathematical modelling, numerical methods and computer simulations.

Pushing science forward through mathematical modelling and computer simulations.

Our research in theoretical chemistry mainly focuses on molecular machines, photochemical reaction mechanisms, photosensory proteins, molecular properties and enzyme catalysis.

AI which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers have developed an AI-based method applicable to various medical and biological issues.