🧬 Protein–Protein Interaction Predictor (TUI Interface)

A Terminal-based User Interface (TUI) Python application for predicting protein–protein interactions using state-of-the-art deep learning models like ProtBERT. Designed for researchers, students, and bioinformaticians to interactively predict and explore recent advances in protein interaction prediction.

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🔍 Features

• 🧠 Deep Learning-based prediction using Rostlab/prot_bert
• ⌨️ Rich TUI Interface using the rich library
• 📚 View recent research papers on Deep Learning & PPI
• 📁 Supports input from FASTA files or direct sequence entry

🏗️ Project Structure

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🚀 How to Run

1. Clone the repository:

   git clone https://github.com/yourusername/ppi-tui-predictor.git
   cd ppi-tui-predictor

pip install -r requirements.txt python main.py

─────────────────────────────────────────────────────── PPI TUI Menu ─────────────────────────────────────────────────────── [1] Predict PPI [2] Show Recent Papers [3] Exit Choose an option [1/2/3]: 1

Enter first protein sequence: MVLSEGEWQLVLHVWAKVEADVAGHGQDILIRLF Enter second protein sequence: MADQLTEEQIAEFKEAFSLFDKDGDGTITTKEA

Predicted Interaction Score: 0.8620

1. AlphaFold-Multimer: Complex protein prediction (Nature, 2021)
2. ESM2: Evolutionary-scale modeling of proteins (Nature, 2023)
3. GraphPPIs: Graph Attention for PPI (Bioinformatics, 2022)
4. ProtTrans: BERT-style models for protein sequences (EMBO J, 2021)

pip install -r requirements.txt