Engqvist Lab

Assistant Professor
Martin Engqvist

Department of Biology and Biological Engineering,
Chalmers University of Technology,
Kemivägen 10, SE-412 96 Göteborg, Sweden

Phone: +46(0)31 772 8171
Fax: +46(0)31 772 3801
E-mail: martin.engqvist [at] chalmers.se
Office: Chemistry building, Room 2024



Our research focuses on bioinformatics and experimental high-throughput biochemical characterization of metabolic enzymes. We aim to understand how diverse protein sequences determine enzyme function.

Genome sequence data is growing at an explosive rate while experimental data relating to gene function is only growing slowly. The gap between what we know and what we do not know is increasing. The research community must greatly increase the body of experimental data to achieve accurate functional annotation of genes in current and future sequenced genomes, thereby unlocking their full value. A new generation of high-throughput experimental platforms are needed to provide this data.

Combining ideas and expertise from bioinformatics, biochemistry and directed evolution we operate a platform for high-throughput biochemical characterization of enzymes. It is a novel way of applying well-established methods towards a new purpose. We make use of these methods to densely sample sequence diversity in enzyme families. The resulting data is leveraged to gain insights into the sequence-function relationship in metabolic enzymes and forms a basis for improved functional gene annotation in sequenced genomes.

Engqvist Lab Hohmann Lab Larsson Lab Mijakovic Lab
Nielsen Lab Petranovic Lab Zelezniak Lab  

Latest News

Jens Nielsen received the Eric and Sheila Samson Prime Minister’s Prize for Innovation in Alternative Fuels for Transportation (and on CfB website)

Jens Nielsen received the Gold Medal from the Royal Swedish Academy of Engineering Sciences

Jens Nielsen received the ENI Award 2017 (on CfB website and Twitter)

Jens Nielsen’s presentation at the Molecular Frontiers Symposium in Stockholm available on YouTube

Jens Nielsen's research covered in GP (Göteborgs-Posten)

Leif Väremo’s thesis entitled “Systems Biology of Type 2 Diabetes in Skeletal Muscle” was selected as the best preclinical thesis by the Swedish Diabetes Association.

BioMet_Toolbox Databases People Centers Projects News Teaching Group Photos Contacts groups CV Publications Software