David Heckmann
Affiliations: | 2019 | University of California, San Diego, La Jolla, CA |
Google:
"David Heckmann"
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Sastry AV, Hu A, Heckmann D, et al. (2021) Independent component analysis recovers consistent regulatory signals from disparate datasets. Plos Computational Biology. 17: e1008647 |
| Heckmann D, Campeau A, Lloyd CJ, et al. (2020) Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers. Proceedings of the National Academy of Sciences of the United States of America |
| Phaneuf PV, Yurkovich JT, Heckmann D, et al. (2020) Causal mutations from adaptive laboratory evolution are outlined by multiple scales of genome annotations and condition-specificity. Bmc Genomics. 21: 514 |
| Kavvas ES, Yang L, Monk JM, et al. (2020) A biochemically-interpretable machine learning classifier for microbial GWAS. Nature Communications. 11: 2580 |
| Mih N, Monk JM, Fang X, et al. (2020) Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes. Bmc Bioinformatics. 21: 162 |
| Yang L, Mih N, Anand A, et al. (2019) Cellular responses to reactive oxygen species are predicted from molecular mechanisms. Proceedings of the National Academy of Sciences of the United States of America |
| Heckmann D, Zielinski DC, Palsson BO. (2018) Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates. Nature Communications. 9: 5270 |
| Heckmann D, Lloyd CJ, Mih N, et al. (2018) Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nature Communications. 9: 5252 |
| Kavvas ES, Catoiu E, Mih N, et al. (2018) Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. Nature Communications. 9: 4306 |
| Kleinmanns JA, Schatlowski N, Heckmann D, et al. (2017) BLISTER Regulates Polycomb-Target Genes, Represses Stress-Regulated Genes and Promotes Stress Responses in . Frontiers in Plant Science. 8: 1530 |