---
title: FunGO
emoji: 🧬
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
short_description: Protein Function Prediction using ESM2 + XGBoost
---

# FunGO — Protein Function Prediction

**Beyond Prediction — Understanding Function.**

FunGO predicts Gene Ontology (GO) terms for protein sequences using:
- **ESM2-t36-3B** — protein language model embeddings (layers 30–35)
- **XGBoost classifiers** — 4,133 GO-term specific models
- **Evidence-tiered filtering** — Strong / Moderate / Indicative

## Evidence Tiers

| Tier | IA Weight | Confidence | Description |
|------|-----------|------------|-------------|
| Strong Evidence | > 5.0 | ≥ 0.30 | Highly specific GO term |
| Moderate Evidence | > 2.0 | ≥ 0.50 | Moderately specific term |
| Indicative | > 1.0 | ≥ 0.65 | Lower specificity, high confidence |

## Ontologies Covered

- **MFO** — Molecular Function
- **BPO** — Biological Process  
- **CCO** — Cellular Component

## Development Team

- **Dr. Beenish Maqsood** — Principal Investigator, School of Biochemistry and Biotechnology, University of the Punjab
- **Dr. Naeem Mahmood** — Co-Supervisor, School of Biochemistry and Biotechnology, University of the Punjab
- **Muteeba Azhar** — Lead Developer, MS Researcher, University of the Punjab