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David Heckmann

Title(s)Postdoctoral Scholar, Bioengineering
SchoolAcademic Aff
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Heckmann D, Zielinski DC, Palsson BO. Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates. Nat Commun. 2018 12 10; 9(1):5270. PMID: 30532008.
      View in: PubMed
    2. Heckmann D, Lloyd CJ, Mih N, Ha Y, Zielinski DC, Haiman ZB, Desouki AA, Lercher MJ, Palsson BO. Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nat Commun. 2018 12 07; 9(1):5252. PMID: 30531987.
      View in: PubMed
    3. Kavvas ES, Catoiu E, Mih N, Yurkovich JT, Seif Y, Dillon N, Heckmann D, Anand A, Yang L, Nizet V, Monk JM, Palsson BO. Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. Nat Commun. 2018 10 17; 9(1):4306. PMID: 30333483.
      View in: PubMed
    4. Kleinmanns JA, Schatlowski N, Heckmann D, Schubert D. BLISTER Regulates Polycomb-Target Genes, Represses Stress-Regulated Genes and Promotes Stress Responses in Arabidopsis thaliana. Front Plant Sci. 2017; 8:1530. PMID: 28955347.
      View in: PubMed
    5. Heckmann D, Schlüter U, Weber APM. Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra. Mol Plant. 2017 06 05; 10(6):878-890. PMID: 28461269.
      View in: PubMed
    6. Oliveira FAC, Amorelli CES, Campedelli FL, Heckmann D, Barreto JC, Amorelli MCR, Campedelli AFG, da Silva PM. J Vasc Bras. 2017 Jan-Mar; 16(1):63-67. PMID: 29930627.
      View in: PubMed
    7. Li Y, Heckmann D, Lercher MJ, Maurino VG. Combining genetic and evolutionary engineering to establish C4 metabolism in C3 plants. J Exp Bot. 2017 01; 68(2):117-125. PMID: 27660481.
      View in: PubMed
    8. Heckmann D. C4 photosynthesis evolution: the conditional Mt. Fuji. Curr Opin Plant Biol. 2016 06; 31:149-54. PMID: 27153468.
      View in: PubMed
    9. Heckmann D. Modelling metabolic evolution on phenotypic fitness landscapes: a case study on C4 photosynthesis. Biochem Soc Trans. 2015 Dec; 43(6):1172-6. PMID: 26614656.
      View in: PubMed
    10. Mallmann J, Heckmann D, Bräutigam A, Lercher MJ, Weber AP, Westhoff P, Gowik U. The role of photorespiration during the evolution of C4 photosynthesis in the genus Flaveria. Elife. 2014 Jun 16; 3:e02478. PMID: 24935935.
      View in: PubMed
    11. Heckmann D, Schulze S, Denton A, Gowik U, Westhoff P, Weber AP, Lercher MJ. Predicting C4 photosynthesis evolution: modular, individually adaptive steps on a Mount Fuji fitness landscape. Cell. 2013 Jun 20; 153(7):1579-88. PMID: 23791184.
      View in: PubMed