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A Bayesian Analysis of Steady–State Enzyme Data leads to Estimates of Rate Constants and Uncertainties in a Multi-Step Reaction†

View ORCID ProfileIan Barr
doi: https://doi.org/10.1101/2021.08.04.454956
Ian Barr
Dominican University of California
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doi 
https://doi.org/10.1101/2021.08.04.454956
History 
  • August 6, 2021.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ian Barr*,‡
  1. Dominican University of California
  1. ↵‡ Corresponding author; email: ian.barr{at}dominican.edu
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Posted August 06, 2021.
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A Bayesian Analysis of Steady–State Enzyme Data leads to Estimates of Rate Constants and Uncertainties in a Multi-Step Reaction†
Ian Barr
bioRxiv 2021.08.04.454956; doi: https://doi.org/10.1101/2021.08.04.454956
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A Bayesian Analysis of Steady–State Enzyme Data leads to Estimates of Rate Constants and Uncertainties in a Multi-Step Reaction†
Ian Barr
bioRxiv 2021.08.04.454956; doi: https://doi.org/10.1101/2021.08.04.454956

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