Exploring β-glucosidase B
Start Date
27-4-2023 1:30 PM
Document Type
Poster
Description
In an effort to understand more about genetic mutations, I have decided to research the effect of mutation V147T on the enzyme β-glucosidase B (BglB). For this project, we will be collaborating with the organization, Design to Data (D2D). D2D is accepting data on mutations to enzyme BglB. The data submitted by students are used to advance their mutation prediction algorithms, which aid in accurately anticipating the effects of a mutation. For my research, I tested my mutation beforehand in a simulation software and recorded the results to form a general idea of my mutation and compare the simulation to my lab-made mutant. To make my mutant, I used many scientific processes, such as the annealing process to combine my mutated DNA into the plasmid of an E. coli bacterial cell. This change in the gene is called a mutagenesis mutation, which means that the E. coli accepts and integrates my mutated DNA strand and will produce my mutant protein. Then, through protein purification, we can analyze the effects caused by my mutation. Once synthesized, I can accurately compare my lab data to the computer-generated simulation. Discrepancies such as enzyme production and stability will be key factors in analyzing the effects of the mutation. These differences will be noted, and my physical lab data will be reported to the D2D database. As my mutation, V147T, has not yet been recorded in D2D’s database, this research will be beneficial in increasing the algorithm's accuracy in predicting the effects of a mutation.
Exploring β-glucosidase B
In an effort to understand more about genetic mutations, I have decided to research the effect of mutation V147T on the enzyme β-glucosidase B (BglB). For this project, we will be collaborating with the organization, Design to Data (D2D). D2D is accepting data on mutations to enzyme BglB. The data submitted by students are used to advance their mutation prediction algorithms, which aid in accurately anticipating the effects of a mutation. For my research, I tested my mutation beforehand in a simulation software and recorded the results to form a general idea of my mutation and compare the simulation to my lab-made mutant. To make my mutant, I used many scientific processes, such as the annealing process to combine my mutated DNA into the plasmid of an E. coli bacterial cell. This change in the gene is called a mutagenesis mutation, which means that the E. coli accepts and integrates my mutated DNA strand and will produce my mutant protein. Then, through protein purification, we can analyze the effects caused by my mutation. Once synthesized, I can accurately compare my lab data to the computer-generated simulation. Discrepancies such as enzyme production and stability will be key factors in analyzing the effects of the mutation. These differences will be noted, and my physical lab data will be reported to the D2D database. As my mutation, V147T, has not yet been recorded in D2D’s database, this research will be beneficial in increasing the algorithm's accuracy in predicting the effects of a mutation.
Comments
The faculty mentor for this project was Heather Seitz, Biology.