Scholar: David Heckmann

David Heckmann

Academic lineage

A generic avian physiologically-based kinetic (PBK) model and its application in three bird species

  • Vanessa Baier, Alicia Paini, Stephan Schaller, …, Thomas G Preuss, Johannes Witt, David Heckmann
  • Environ Int, 10.1016/j.envint.2022.107547
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Energetic basis for bird ontogeny and egg-laying applied to the bobwhite quail

  • Nina Marn, Konstadia Lika, Starrlight Augustine, …, Markus Ebeling, David Heckmann, Andre Gergs
  • None, 10.1093/conphys/coac063
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Quantitative Morphometric, Physiological, and Metabolic Characteristics of Chickens and Mallards for Physiologically Based Kinetic Model Development

  • Colin G Scanes, Johannes Witt, Markus Ebeling, …, Audrey J Bone, Thomas G Preuss, David Heckmann
  • None, 10.3389/fphys.2022.858283
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Quantitative Comparison of Avian and Mammalian Physiologies for Parameterization of Physiologically Based Kinetic Models

  • Colin G Scanes, Johannes Witt, Markus Ebeling, …, Audrey J Bone, Thomas G Preuss, David Heckmann
  • None, 10.3389/fphys.2022.858386
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Modeling photosynthetic resource allocation connects physiology with evolutionary environments

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Independent component analysis recovers consistent regulatory signals from disparate datasets

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Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers

  • David Heckmann, Anaamika Campeau, Colton J Lloyd, …, Adam M Feist, David J Gonzalez, Bernhard O Palsson
  • Proc Natl Acad Sci U S A, 10.1073/pnas.2001562117
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A biochemically-interpretable machine learning classifier for microbial GWAS

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Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes

  • Nathan Mih, Jonathan M Monk, Xin Fang, …, David Heckmann, Laurence Yang, Bernhard O Palsson
  • BMC Bioinformatics, 10.1186/s12859-020-3505-y
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Cellular responses to reactive oxygen species are predicted from molecular mechanisms

  • Laurence Yang, Nathan Mih, Amitesh Anand, …, Ying Hefner, Adam M Feist, Bernhard O Palsson
  • Proc Natl Acad Sci U S A, 10.1073/pnas.1905039116
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Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

  • David Heckmann, Colton J Lloyd, Nathan Mih, …, Abdelmoneim Amer Desouki, Martin J Lercher, Bernhard O Palsson
  • Nat Commun, 10.1038/s41467-018-07652-6
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Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

  • Erol S Kavvas, Edward Catoiu, Nathan Mih, …, Victor Nizet, Jonathan M Monk, Bernhard O Palsson
  • Nat Commun, 10.1038/s41467-018-06634-y
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