DexLab — AI-Powered Drug Discovery Platform

Accelerating drug discovery through intelligent, unified research tools.

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Overview

DexLab is an AI-powered drug discovery platform designed to simplify and accelerate the research process. Instead of relying on slow, fragmented tools, DexLab brings everything a researcher needs into one intelligent workspace — from knowledge search to scientific report generation.

This project was developed as part of the PI-CDIO program at Esprit School of Engineering, with the goal of applying artificial intelligence to one of healthcare's most complex challenges: bringing safer treatments to patients faster.

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The Problem

Drug discovery today is broken:

• Researchers use 10+ disconnected tools that don't communicate
• Literature review alone can take months
• Safety evaluation is largely manual and error-prone
• The average drug takes 12 years and $2.6 billion to reach a patient

DexLab was built to fix this.

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Features

• 🔍 Intelligent Knowledge Search — Search curated, trusted scientific databases instantly
• 🧬 AI-Assisted Molecule Design — Design new drug compounds with intelligent guidance
• 🌐 3D Molecular Visualization — Visualize molecules interactively in real time
• 🛡️ Patient-Specific Safety Evaluation — Evaluate compound safety for individual patient profiles
• 💡 Hypothesis Generation — Surface new research directions automatically
• 📄 Automated Report Generation — Generate clean, structured scientific reports in one click

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Tech Stack

Artificial Intelligence

• Large Language Models (LLM)
• Machine Learning
• Natural Language Processing (NLP)

Frontend

• React.js
• 3D Visualization Library

Backend

• Python
• REST API

Other Tools

• Scientific databases integration
• Molecular modeling tools

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Directory Structure

DX-LAB/
├── frontend/        # React.js user interface
├── backend/         # Python API and AI models
├── models/          # Machine learning and molecular models
├── data/            # Research datasets and knowledge base
├── docs/            # Documentation and reports
└── README.md

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Getting Started

# Clone the repository
git clone https://github.com/your-username/DX-LAB.git

# Navigate to the project
cd DX-LAB

# Install dependencies
npm install        # Frontend
pip install -r requirements.txt  # Backend

# Run the application
npm start          # Frontend
python app.py      # Backend

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Impact

DexLab addresses UN Sustainable Development Goal 3 (Good Health and Well-Being) and SDG 9 (Industry, Innovation and Infrastructure) by making advanced drug discovery tools accessible to researchers regardless of institutional size or budget — accelerating the path from discovery to patient.

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Team

Developed by a team of 6 engineering students at Esprit School of Engineering as part of the PI-CDIO innovation program.

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Acknowledgments

This project was developed under the PI-CDIO framework at Esprit School of Engineering, Tunisia.
Presented as a simulation pitch and commercial video project in the CCCA4 program.

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DexLab — Discovery, Accelerated.