Academic lineage
A general model to predict small molecule substrates of enzymes based on machine and deep learning
- Alexander Kroll, Sahasra Ranjan, Martin K M Engqvist, …, Sahasra Ranjan, Martin K M Engqvist, Martin J Lercher
- Nat Commun, 10.1038/s41467-023-38347-2
Chiral Alcohols from Alkenes and Water: Directed Evolution of a Styrene Hydratase
- Matúš GajdoÅ¡, Jendrik Wagner, Felipe Ospina, …, Antonia Köhler, Martin K M Engqvist, Stephan C Hammer
- Angew Chem Int Ed Engl, 10.1002/anie.202215093
Learning deep representations of enzyme thermal adaptation
- Gang Li, Filip Buric, Jan Zrimec, …, Jens Nielsen, Aleksej Zelezniak, Martin K M Engqvist
- Protein Sci, 10.1002/pro.4480
Directed Evolution of ( R )-2-Hydroxyglutarate Dehydrogenase Improves 2-Oxoadipate Reduction by 2 Orders of Magnitude
- Veronica Saez-Jimenez, Simone Scrima, Matteo Lambrughi, …, Valeria Mapelli, Martin K M Engqvist, Lisbeth Olsson
- ACS Synth Biol, 10.1021/acssynbio.2c00162
Engineering Saccharomyces cerevisiae for the production and secretion of Affibody molecules
- Veronica Gast, Anna Sandegren, Finn DunÃ¥s, …, Mikael Molin, Martin K M Engqvist, Verena Siewers
- Microb Cell Fact, 10.1186/s12934-022-01761-0
Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology
- John R Casey, Rene M Boiteau, Martin K M Engqvist, …, Christian L Müller, Nathalie Muñoz, Michael J Follows
- Sci Adv, 10.1126/sciadv.abl4930
Deep learning allows genome-scale prediction of Michaelis constants from structural features
- Alexander Kroll, Martin K M Engqvist, David Heckmann, Martin J Lercher
- PLoS Biol, 10.1371/journal.pbio.3001402
Adaptation of a Microfluidic qPCR System for Enzyme Kinetic Studies
- Elzbieta Rembeza, Martin K M Engqvist
- None, 10.1021/acsomega.0c04918