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Automated Model-Predictive Design of Synthetic Promoters to Control Transcriptional Profiles in Bacteria

Travis La Fleur, Ayaan Hossain, Howard M. Salis
doi: https://doi.org/10.1101/2021.09.01.458561

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doi 
https://doi.org/10.1101/2021.09.01.458561
History 
  • September 1, 2021.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Travis La Fleur1,
  2. Ayaan Hossain2 and
  3. Howard M. Salis1,2,3,4,*
  1. 1Department of Chemical Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
  2. 2Bioinformatics and Genomics, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
  3. 3Department of Biological Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
  4. 4Department of Biomedical Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
  1. ↵*Corresponding author. Email: salis{at}psu.edu
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Posted September 01, 2021.
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Automated Model-Predictive Design of Synthetic Promoters to Control Transcriptional Profiles in Bacteria
Travis La Fleur, Ayaan Hossain, Howard M. Salis
bioRxiv 2021.09.01.458561; doi: https://doi.org/10.1101/2021.09.01.458561
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