In this project, computational techniques are used to explore potential therapeutic targets for Type 2 Diabetes. The workflow includes:

• Data Collection: Retrieving diabetes-related genes and proteins from databases like NCBI, UniProt, and KEGG.
• Target Identification: Screening essential proteins using STRING and Cytoscape for protein-protein interaction analysis.
• Molecular Docking: Performing docking studies using AutoDock or PyRx to evaluate drug-protein interactions.
• Pathway Analysis: Investigating affected metabolic pathways using DAVID or Reactome.
• Result Interpretation: Identifying promising drug targets and their role in diabetes management.

This project provides a bioinformatics-driven approach to drug discovery, equipping students with essential computational biology skills.