Major

Forensic Science

Anticipated Graduation Year

2023

Access Type

Open Access

Abstract

The research project Design to Data collects protein data for the enzyme 𝛽-Glucosidase B (BglB) from labs across the country in order to create a dataset aimed to predict protein function. We contributed to this dataset by first expressing and purifying a T352V mutant of BglB. We then gathered data on the enzymatic activity of the mutant enzyme. We hypothesize that T352V mutant β-Glucosidase B will demonstrate decreased catalytic efficiency compared to the wild type because of the change in local interactions due to the mutation, including the introduction of hydrophobic interactions and decreased hydrophilic interactions near the catalytic site.

Community Partners

Justin Siegel Laboratory at UC-Davis, National Science Foundation

Faculty Mentors & Instructors

Emma Feeney, PhD, Department of Biology

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Characterization and Analysis of T352V Mutation in the Enzyme β-Glucosidase B

The research project Design to Data collects protein data for the enzyme 𝛽-Glucosidase B (BglB) from labs across the country in order to create a dataset aimed to predict protein function. We contributed to this dataset by first expressing and purifying a T352V mutant of BglB. We then gathered data on the enzymatic activity of the mutant enzyme. We hypothesize that T352V mutant β-Glucosidase B will demonstrate decreased catalytic efficiency compared to the wild type because of the change in local interactions due to the mutation, including the introduction of hydrophobic interactions and decreased hydrophilic interactions near the catalytic site.