Python · SQL · Flask
Mitoproximal Protein Database
A collaborative project with Jason Cunha, Iris Xu, and Christian Landaverde to build an SQL database and public web interface displaying the work of Fetterman & Leyfer (2023), who used a data-driven approach to identify nuclear-encoded proteins relevant to mitochondrial function.
Background
Fetterman & Leyfer (2023) developed a computational approach to identify nuclear-encoded proteins that are relevant to mitochondrial function, which they termed mitoproximal proteins. This SQL database makes their dataset easily queryable and browsable.
Features
- Search functions for mitoproximal proteins
- Filterable by genomic location and dataset source
- Links to ensembl protein database
- Hosted publicly
Tech Stack
- Python / Flask — web application framework
- SQL — relational database backend
- HTML / CSS / JavaScript — frontend
- Deployed on PythonAnywhere