Major
Forensic Science
Anticipated Graduation Year
2024
Access Type
Open Access
Abstract
Partnered with Seigel Lab at UC-Davis, this research generated a data set to supplement the Design to Data database. This database is used to train artificial intelligence algorithms to predict protein function based on amino acid sequence. Fold-it, a software to model proteins, was used to predict the structural effects of a specific mutation at one amino acid on the BglB protein. These predictions were used to create a hypothesis for the enzymatic effects of the mutation. To produce unique enzymes, mutations of BglB-His were created. Analysis of the enzyme was conducted to collect data on enzymatic activity and catalytic function.
Faculty Mentors & Instructors
Emma Feeney, PhD
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Determining Expression and Activity of BglB Mutation V52F
Partnered with Seigel Lab at UC-Davis, this research generated a data set to supplement the Design to Data database. This database is used to train artificial intelligence algorithms to predict protein function based on amino acid sequence. Fold-it, a software to model proteins, was used to predict the structural effects of a specific mutation at one amino acid on the BglB protein. These predictions were used to create a hypothesis for the enzymatic effects of the mutation. To produce unique enzymes, mutations of BglB-His were created. Analysis of the enzyme was conducted to collect data on enzymatic activity and catalytic function.
