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

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.§

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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

tekfak doctoral studies theory modelling natural sciences bioinformatics

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

Two men wearing white lab coats in a lab.

AI helps researchers understand the machinery of cells

Breaking the code to understand why a protein takes on a specific shape has long been one of the major challenges in biology. A couple of years ago AI led to a breakthrough in this field. Björn Wallner’s research unites AI and bioinformatics.

Making stable molecules reactive with light

Researchers at LiU have used computer simulations to show that stable aromatic molecules can become reactive after absorbing light. The results may have applications in such areas as the storage of solar energy, pharmacology, and molecular machines.

Henrik Green and Niclas Björn in the lab.

Predicting the risk of severe side effects of cancer treatment

Some patients experience life-threatening side effects during cancer treatment. Researchers at LiU have developed a model that can predict which patients have a high probability of side effects.

Contact

Head of division

Staff

Enrique Manuel Arpa Gonzalez

Principal Research Engineer

Bo Durbeej

Professor

Mika Gustafsson

Professor

Malin Larsson

Principal Research Engineer

Lena Lassinantti

Postdoc

David Martinez

PhD student

Claudio Mirabello

Principal Research Engineer

Nicholas Pearce

Assistant professor

Durga Sravanakumar Perumalla

Björn Wallner

Professor, Head of Division

Tejaswi Badam

PhD student

Julia Åkesson

PhD student

Visiting address

Campus Valla, Buildings B and F

Mail address

Linköping University
IFM
581 83 Linköping

Back to IFM

Department of Physics, Chemistry and Biology (IFM)

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

Bioinformatics (BIOIN)

Research at Bioinformatics division

Translational bioinformatics

Theoretical chemistry

Theory and Modelling

Doctoral education

Doctoral studies in Theory and Modelling in Natural Sciences

More about our research

AI helps researchers understand the machinery of cells

Making stable molecules reactive with light

Predicting the risk of severe side effects of cancer treatment

Isotopic chirality: New method for efficient molecular motors

Artificial intelligence finds disease-related genes

High-performance molecular motor with minimal design

Doctoral studies in Theory and Modelling in Natural Sciences

Predicting the severity of multiple sclerosis

Solved: the mystery of the lobster

Contact

Head of division

Björn Wallner

Henrietta Winslow

Staff

Staff

Visiting address

Mail address

Back to IFM

Department of Physics, Chemistry and Biology (IFM)

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