Grants per year
Personal profile
Research Interests
Microbes must cope with harsh, rapidly changing environments to survive. To do this, microbes have developed sophisticated mechanisms to (a) sense the changes in the environment, and (b) respond quickly to these changes to protect itself from harm or capitalize on an opportunity. Professor Tyo's lab seeks to rewire these fundamental input/output relationships to program cells to do useful things for mankind in a paradigm called synthetic biology.
Synthetic biology offers a disruptive technology that has vast potential to impact the most important facets of our lives. The way we diagnose diseases, the drugs we use, the fuels we put in our cars, the plastic that is used in our potato chip bag - we have the opportunity to improve the sustainability of our lifestyle. And by reducing costs, we can make aspects of our lifestyle available to those who could not otherwise afford it. His lab hopes to offer technical contributions that, simply put, make the world a better place.
Education/Academic qualification
Chemical Engineering, PhD, Massachusetts Institute of Technology
… → 2008
Chemical Engineering, MS, Massachusetts Institute of Technology
… → 2003
Chemical Engineering, BS, West Virginia University
… → 2001
Research interests keywords
- Global health
- Metabolic engineering
- Synthetic biology
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Development of a Novel Split Enzyme Diagnostic Platform for Use at the Point of Care
National Institute of Biomedical Imaging and Bioengineering
7/1/23 → 6/30/24
Project: Research project
-
Recording Neural Activities onto DNA
University of Pennsylvania, National Institute of Mental Health
11/15/17 → 5/31/19
Project: Research project
-
Collaborative Research: Bilateral BBSRC-NSF/BIO: Synthetic Biology for Lignin Utilization
Tyo, K. E. J. & Broadbelt, L. J.
8/1/16 → 7/31/21
Project: Research project
-
A dynamic kinetic model captures cell-free metabolism for improved butanol production
Martin, J. P., Rasor, B. J., DeBonis, J., Karim, A. S., Jewett, M. C., Tyo, K. E. J. & Broadbelt, L. J., Mar 2023, In: Metabolic Engineering. 76, p. 133-145 13 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Pickaxe: a Python library for the prediction of novel metabolic reactions
Shebek, K. M., Strutz, J., Broadbelt, L. J. & Tyo, K. E. J., Dec 2023, In: BMC bioinformatics. 24, 1, 106.Research output: Contribution to journal › Article › peer-review
Open Access -
Chemical-damage MINE: A database of curated and predicted spontaneous metabolic reactions
Jeffryes, J. G., Lerma-Ortiz, C., Liu, F., Golubev, A., Niehaus, T. D., Elbadawi-Sidhu, M., Fiehn, O., Hanson, A. D., Tyo, K. EJ. & Henry, C. S., Jan 2022, In: Metabolic Engineering. 69, p. 302-312 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
MINE 2.0: Enhanced biochemical coverage for peak identification in untargeted metabolomics
Strutz, J., Shebek, K. M., Broadbelt, L. J. & Tyo, K. E. J., Jul 1 2022, In: Bioinformatics. 38, 13, p. 3484-3487 4 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Curating a comprehensive set of enzymatic reaction rules for efficient novel biosynthetic pathway design
Ni, Z., Stine, A. E., Tyo, K. E. J. & Broadbelt, L. J., May 2021, In: Metabolic Engineering. 65, p. 79-87 9 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations
Datasets
-
MINEs: open access databases of computationally predicted enzyme promiscuity products for untargeted metabolomics
Jeffryes, J. G. (Creator), Colastani, R. L. (Creator), Elbadawi-Sidhu, M. (Creator), Kind, T. (Creator), Niehaus, T. D. (Creator), Broadbelt, L. J. (Creator), Hanson, A. D. (Creator), Fiehn, O. (Creator), Tyo, K. E. J. (Creator), Henry, C. S. (Creator) & Fiehn, O. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.c.3697504.v1, https://figshare.com/collections/MINEs_open_access_databases_of_computationally_predicted_enzyme_promiscuity_products_for_untargeted_metabolomics/3697504/1
Dataset