Major
Biology
Anticipated Graduation Year
2024
Access Type
Open Access
Abstract
The goal of the Design to Data project is to improve the ability of modeling software to predict protein function from structure. We generated a single point mutation in BgIB, M114S, and performed kinetic and thermal assays to gather empirical data. Based on previously published data on similar mutations, such as M261D, and an overall change in Foldit score greater than 1, we hypothesize that M114S will demonstrate decreased catalytic efficiency and thermal stability in comparison to the wild-type. We were unable to confirm or deny or negate our hypothesis as our data indicated that M114S was not expressed.
Community Partners
Siegel Lab at UC Davis with Ashley Vater and Justin Siegel
Faculty Mentors & Instructors
Emma Feeney, PhD, Department of Biology
Supported By
Justin Siegel, Ashley Vater
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Characterization and Analysis of β-Glucosidase B (BglB) Mutant M114S
The goal of the Design to Data project is to improve the ability of modeling software to predict protein function from structure. We generated a single point mutation in BgIB, M114S, and performed kinetic and thermal assays to gather empirical data. Based on previously published data on similar mutations, such as M261D, and an overall change in Foldit score greater than 1, we hypothesize that M114S will demonstrate decreased catalytic efficiency and thermal stability in comparison to the wild-type. We were unable to confirm or deny or negate our hypothesis as our data indicated that M114S was not expressed.