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Bioinformatics (BIOIN)

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

Bioinformatics is an interdisciplinary research area combining physics, chemistry, and biology with computer science, statistics, and mathematics.

At the unit of Theoretical chemistry, headed by Bo Durbeej, research is carried out with the aim to solve a variety of chemical problems with methods rooted in quantum mechanics and statistical mechanics.

Research at Bioinformatics division

Mika Gustafsson and David Martinez peeking into a server rack in the data center in Kärnhuset, NSC.

Translational bioinformatics

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.

Theoretical chemistry

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

Theory and Modelling

Pushing science forward through mathematical modelling and computer simulations.

Doctoral education

Simulation teoretisk fysik

Doctoral studies in Theory and Modelling in Natural Sciences

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

More about our research

Modeling predicted link between gene and rheumatic problems

Study showes that a specific gene influences how cells move, and that it can therefore cause rheumatic diseases. LiU-researchers contributed to this by predicting the gene’s impact on cells. Now there is hope that this could lead to new treatments.

Diplomas to New Docents at TekFak

Thirteen researchers at Linköping University have advanced in their academic careers by becoming associate professors (docents) at the Faculty of Science and Engineering.
Two men in white lab coats with a computer in a lab.

Improving Alphafold to predict very large proteins

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.

Contact

Head of division

Photo of Björn Wallner

Björn Wallner

Professor, Head of Division
Photo of Emma Ljungkvist

Emma Ljungkvist

Coordinator

Staff

Staff

Photo of Moumita Banerjee
Moumita Banerjee
Placeholder for missing image of Nicholas Debouver
Nicholas Debouver
PhD student
Photo of Bo Durbeej
Bo Durbeej
Professor
Photo of Björn Forsberg
Björn Forsberg
Assistant Professor
Photo of Mika Gustafsson
Mika Gustafsson
Professor
Photo of Thomas Hillerton
Thomas Hillerton
Postdoc
Photo of Yogesh Kalakoti
Yogesh Kalakoti
Postdoc
Photo of Alexander Korsunsky
Alexander Korsunsky
PhD student
Placeholder for missing image of Dariia Kuvshinova
Dariia Kuvshinova
PhD student
Photo of Malin Larsson
Malin Larsson
Principal Research Engineer
Photo of Maria Levkovets
Maria Levkovets
PhD student
Placeholder for missing image of Erik Lindahl
Erik Lindahl
Professor
Photo of Rafail Lingas
Rafail Lingas
Photo of Ying Luo
Ying Luo
PhD student
Photo of David Martinez
David Martinez
PhD student
Photo of Claudio Mirabello
Claudio Mirabello
Principal Research Engineer, Docent
Photo of Nicholas Pearce
Nicholas Pearce
Assistant Professor
Photo of Ylva Strid Holmertz
Ylva Strid Holmertz
PhD student
Photo of Björn Wallner
Björn Wallner
Professor, Head of Division
Placeholder for missing image of Julia Åkesson
Julia Åkesson
Postdoc

Tejaswi Badam

PhD student

Julia Åkesson

PhD student

Visiting address

Campus Valla, B building and Fysikhuset building

Mail address

Linköping University
IFM
581 83 Linköping

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Department of Physics, Chemistry and Biology (IFM)

Excellent undergraduate teaching and research in the areas of biology, chemistry, materials and applied physics and theory and modelling are conducted at this department.

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