David Heckmann

Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

David Heckmann, Colton J. Lloyd, Nathan Mih et al. · Nature Communications · 2018 · 248 citations · Full text

Life Sciences, Biochemistry, Bioinformatics +14

The role of photorespiration during the evolution of C4 photosynthesis in the genus Flaveria

Julia Mallmann, David Heckmann, Andrea Bräutigam et al. · eLife · 2014 · 227 citations · Full text

Life Sciences, Plant Biology, Plant Sciences +17

Predicting C4 Photosynthesis Evolution: Modular, Individually Adaptive Steps on a Mount Fuji Fitness Landscape

David Heckmann, Stefanie Schulze, Alisandra K. Denton et al. · Cell · 2013 · 194 citations

Life Sciences, Evolutionary Biology, Plant Biology +13

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

Erol Kavvas, Edward Catoiu, Nathan Mih et al. · Nature Communications · 2018 · 186 citations · Full text

Life Sciences, Bioinformatics, Genetics +17

Deep learning allows genome-scale prediction of Michaelis constants from structural features

Alexander Kroll, Martin K. M. Engqvist, David Heckmann et al. · PLoS Biology · 2021 · 133 citations · Full text

Life Sciences, Biochemistry, Bioinformatics +17