🧬 Gene2Trials Navigator

Gene → Mutations → Disease → Drug → Clinical Trial Discovery Platform → AI powered Literature Summary

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📌 Overview

Gene2Trials Navigator is an AI-powered bioinformatics platform designed to bridge the gap between genomic information and therapeutic discovery.

Given a single gene of interest, the platform integrates multiple biomedical databases to identify:

• 🧬 Gene Mutations
• 🦠 Associated diseases
• 💊 Potential drug candidates
• 🧪 Clinical trial evidence
• 📚 Supporting biomedical literature

The goal is to accelerate early-stage drug discovery and biomedical research by providing a unified, single-search, gene-to-therapy exploration workflow.

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🔬 Core Concept

Gene
  ↓
Gene Mutations
  ↓
Disease Association
  ↓
Drug Candidates
  ↓
Clinical Trials
  ↓
Scientific Literature
  ↓
AI-Assisted Interpretation

✨ Key Features

🧬 1. Gene Identification

Accepts a gene symbol (e.g. TP53), converts it into an Ensembl identifier, and retrieves biological target information.

Powered by: OpenTargets Platform

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🧬 2. Gene Mutation Information

Provides mutation-level details for the selected gene, including known variants, mutation types, and their clinical/functional significance.

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🦠 3. Disease Association Analysis

Identifies diseases associated with the selected gene, along with disease identifiers and association evidence scores.

Example — TP53:

TP53
 → Breast Cancer
 → Acute Myeloid Leukemia
 → Glioblastoma
 → Other cancer-related diseases

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💊 4. Drug Discovery Module

Retrieves therapeutic candidates linked to the gene via biomedical databases.

Gene
 ↓
OpenTargets Drug Associations
 ↓
Drug Candidates
 ↓
Clinical Development Stage

📊 Drug Discovery Dashboard

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🧪 5. Clinical Trial Integration

Integrates clinical trial information, including trial identifiers, study phases, trial status, and therapeutic evidence.

Source: ClinicalTrials.gov API

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🤖 6. AI-Assisted Biomedical Interpretation

AI research summaries include:

• Biomedical NLP
• Literature summarization
• Research evidence explanation

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🛠️ Technology Stack

Programming: Python

Bioinformatics: Computational Biology · Genomics · Drug Discovery · Biomedical Data Analysis

APIs & Databases

Database	Purpose
OpenTargets	Gene–Disease–Drug associations
ChEMBL	Drug information
ClinicalTrials.gov	Clinical trial evidence
PubMed	Biomedical literature

Machine Learning / AI: NLP · Large Language Models · Biomedical Information Retrieval

Application Development: Streamlit · FastAPI · Pandas · Requests

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📂 Project Structure

Gene2Trials/
│
├── app.py
├── requirements.txt
├── README.md
│
├── images/
│   ├── hero_banner.png
│   ├── architecture.jpg
│   ├── workflow.jpg
│   ├── gene_tab.png
|   ├── mutations.png
│   ├── disease.png
│   ├── drugs.png
│   ├── trials.png
│   └── ai_summary.png
│
└── utils/
    ├── mutations.py
    ├── drugs.py
    ├── diseases.py
    ├── trials.py
    └── literature.py

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🚀 Installation

# Clone the repository
git clone https://github.com/Bano733-code/Gene2Trials.git

# Navigate into the project
cd Gene2Trials

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run app.py

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📡 Data Sources

• OpenTargets Platform
• ChEMBL Database
• ClinicalTrials.gov
• PubMed

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🔮 Future Improvements

• AI-based drug ranking system
• Drug repurposing prediction
• Multi-omics integration
• Protein structure-based analysis
• Personalized medicine insights

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👩‍💻 Author

Bano Rani Bioinformatics Student

Research Interests: AI for Drug Discovery · Computational Biology · Genomics · Precision Medicine

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⭐ Acknowledgements

This project builds upon open biomedical databases and computational biology resources that enable data-driven therapeutic discovery.

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📜 License

This project is intended for academic and research purposes.