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.

Screenshot of the Mitoproximal Protein Database website

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