T. Emme Burgin
Appointments
Assistant Professor of Engineering
Area of Expertise
Protein engineering,
molecular simulation,
computational chemistry,
machine learning
Biography
Emme Burgin's research focuses on the use of molecular simulations and machine learning for computationally engineering enzymes and other proteins.
Education
B.S. University of Rochester, 2015
M.S. University of Rochester, 2016
Ph.D. University of Michigan, 2021
Publications
Burgin, T.E. (2025). Quantified Dynamics-Property Relationships: Data-Efficient Protein Engineering with Machine Learning of Protein Dynamics. Journal of Chemical Information and Modeling, 65(21): 11979-11987
Burgin, T., Pollard, B.C., Knott, B.C. et al. (2024). The reaction mechanism of the Ideonella sakaiensis PETase enzyme. Communications Chemistry 7: 65.
Burgin, T., Ellis, S., Mayes, H.B. (2023). ATESA: an Automated Aimless Shooting Workflow. Journal of Chemical Theory and Computation 19(1): 235–44.
Burgin, T., Pfaendtner, J., Beck, D.A.C. (2023). Quick and Accurate Estimates of Mutation Effects on Relative Activity of Enzymes from Molecular Simulations with Restrained Transition States. Journal of Physical Chemistry B 126(48): 9964–70.
Burgin, T., Mayes, H.B. (2019). Mechanism of Oligosaccharide Synthesis via a Mutant GH29 Fucosidase. Reaction Chemistry & Engineering 4: 402–9.
Burgin, T., Ståhlberg, J., Mayes, H.B. (2018). Advantages of a distant cellulase catalytic base. Journal of Biological Chemistry 293(13): 4680–7.
Contact