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David Heckmann

4PUBLICATIONS
12CO-AUTHORS
Metabolic medicineEvolutionary computationCell metabolismMicrobial genetics
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Publications (4)

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|Oct 19, 2021
Deep learning allows genome-scale prediction of Michaelis constants from structural features.

Alexander Kroll, Martin K M Engqvist, David Heckmann

|Feb 02, 2021
Independent component analysis recovers consistent regulatory signals from disparate datasets.

Anand V Sastry, Alyssa Hu, David Heckmann

|Sep 03, 2020
Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers.

David Heckmann, Anaamika Campeau, Colton J Lloyd

|May 24, 2020
A biochemically-interpretable machine learning classifier for microbial GWAS.

Erol S Kavvas, Laurence Yang, Jonathan M Monk

Pageof 1

Frequent Collaborators

2 joint publications

Erol S Kavvas

2 joint publications

Bernhard O Palsson

1 joint publications

Jonathan M Monk

1 joint publications

Anaamika Campeau

1 joint publications

Patrick V Phaneuf

1 joint publications

Adam M Feist

1 joint publications

Anand V Sastry

1 joint publications

Alyssa Hu

1 joint publications

Saugat Poudel

1 joint publications

Alexander Kroll

Frequent Collaborators

2 joint publications

Erol S Kavvas

2 joint publications

Bernhard O Palsson

1 joint publications

Jonathan M Monk

1 joint publications

Anaamika Campeau

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