Exploring RNA Triple Helices and Protein-Binding Partners using Computational Tools

The Brown laboratory is interested in the structure and function of the MALAT1 RNA triple helix and its protein-binding partners, particularly in the context of cancer and Miller-Dieker Syndrome, which is a rare neurogenetic disease. To that end, the lab uses Python, AlphaFold, PyMOL, AutoDock Vina and other computational tools to analyze publicly available "omics" data, examine 3D structure, screen for small molecule binders and generate figures. We have more than 5 computational projects with multiple sub-parts. Therefore, it is easier to discuss project details in person.

Name of research group, project, or lab
The Brown Lab
Logistics Information:
Project categories
Chemistry and Biochemistry
Computer Science & Engineering
Student ranks applicable
Sophomore
Junior
Student qualifications

A background in biochemistry (or related field) is preferred.  No programming experience is necessary, although it would be helpful.  Student must be available to start in January 2025 so that the current undergrad in the laboratory can train you before he graduates in May 2025.

Hours per week
1 credit / 3-6 hours
2 credits / 6-12 hours
Compensation
Research for Credit
Number of openings
2
Techniques learned

Computational tools include Python, AlphaFold, PyMOL, and AutoDock Vina, just to name a few.  Computational projects are a starting point for wet-lab projects so there is the potential and hope to eventually test discoveries made computationally using an array of biochemical assays.

Project start
Start of Spring semester: January 2025
Contact Information:
Mentor
jbrown33@nd.edu
Principal Investigator
Name of project director or principal investigator
Jessica Brown
Email address of project director or principal investigator
jbrown33@nd.edu
2 sp. | 8 appl.
Hours per week
1 credit / 3-6 hours (+1)
1 credit / 3-6 hours2 credits / 6-12 hours
Project categories
Computer Science & Engineering (+1)
Chemistry and BiochemistryComputer Science & Engineering