metadata

title: PhytoAI Assistant
emoji: 🌿
colorFrom: green
colorTo: blue
sdk: streamlit
sdk_version: 1.28.0
app_file: app.py
pinned: false
license: cc-by-4.0
tags:
  - phytotherapy
  - natural-compounds
  - bioactivity
  - drug-discovery
  - ai-assistant
  - research-tool

PhytoAI Assistant 🌿

Interactive AI Assistant for Phytotherapy Research - Explore natural compounds and their bioactivities using cutting-edge AI technology.

🎯 Overview

The PhytoAI Assistant is an interactive web application built with Streamlit that provides researchers, students, and pharmaceutical professionals with easy access to a comprehensive database of natural compounds and their documented bioactivities. This tool leverages the PhytoAI MEGA Dataset containing 352 unique natural compounds and 1,314 bioactivities.

✨ Key Features

🔍 Advanced Search Capabilities

Compound Name Search: Find specific natural compounds by name (e.g., curcumin, resveratrol, quercetin)
Therapeutic Activity Search: Discover compounds by their therapeutic properties:
- Anti-inflammatory
- Antioxidant
- Cardiovascular protective
- Neuroprotective
- Anti-cancer
- Antimicrobial

📊 Interactive Data Visualization

Real-time Statistics: Live metrics on compound count, bioactivities, and therapeutic coverage
Distribution Charts: Visual analysis of therapeutic activities using Plotly
Pie Charts: Therapeutic area distribution for quick insights
Bar Charts: Activity type frequency analysis

🧬 Comprehensive Compound Information

Molecular Properties: Chemical formulas, SMILES notation, molecular weights
Database Cross-references: PubChem CID mappings for further research
Bioactivity Profiles: Detailed activity descriptions with experimental context
Literature References: Links to original research and validation studies

🚀 How to Use

Launch the Application: The interface loads automatically with dataset statistics
Search Compounds: Use the sidebar to search by compound name or therapeutic activity
Explore Results: Click on compound cards to see detailed molecular and bioactivity information
Analyze Data: Review interactive charts to understand therapeutic distribution patterns
Cross-reference: Use PubChem CIDs for additional research in external databases

📈 Dataset Integration

This application seamlessly integrates with the PhytoAI MEGA Dataset through Hugging Face's hf_hub_download functionality, ensuring:

Always Up-to-date: Automatic synchronization with the latest dataset version
Efficient Loading: Cached data loading for optimal performance
Reliable Access: Robust error handling and fallback mechanisms

🔬 Research Applications

Academic Research

Drug Discovery: Identify promising natural compounds for pharmaceutical development
Ethnopharmacology: Validate traditional medicine uses with modern bioactivity data
Chemical Biology: Explore structure-activity relationships in natural products

Pharmaceutical Industry

Lead Compound Identification: Screen natural products for specific therapeutic targets
Bioactivity Prediction: Use existing data to guide synthetic chemistry efforts
Competitive Intelligence: Monitor natural product research trends and opportunities

Educational Use

Teaching Tool: Interactive exploration of phytochemistry and pharmacology concepts
Student Projects: Real-world dataset for bioinformatics and cheminformatics training
Research Training: Hands-on experience with pharmaceutical data analysis

🛠️ Technical Architecture

Frontend

Streamlit: Modern, responsive web interface
Plotly: Interactive data visualizations
Pandas: Efficient data manipulation and analysis

Backend

Hugging Face Hub: Dataset storage and version control
JSON/CSV: Structured data formats optimized for research
Caching: Optimized performance with Streamlit's caching system

Data Pipeline

Pandas Processing → Streamlit Interface → Interactive Visualizations

📊 Dataset Statistics

🧬 Compounds: 352 unique natural products
🔬 Bioactivities: 1,314 documented activities
🎯 Therapeutic Areas: 6+ major categories
📚 Sources: PubChem, ChEMBL, peer-reviewed literature
🔄 Updates: Regularly maintained and expanded

🌐 Related Resources

📊 Dataset: PhytoAI MEGA Dataset
🤖 Models: PhytoAI Discovery Models
📖 Documentation: Comprehensive API and usage documentation
💬 Community: Research collaboration and support forum

🏆 Impact & Recognition

This tool has been designed to bridge the gap between traditional phytotherapy knowledge and modern AI-driven drug discovery, providing researchers worldwide with:

Accessible Data: User-friendly interface for complex bioactivity data
Research Acceleration: Rapid compound screening and hypothesis generation
Global Collaboration: Shared platform for international research initiatives
Educational Value: Training resource for next-generation researchers

📄 Citation & License

License: CC BY 4.0 - Free for academic and commercial use with attribution

Citation: If you use PhytoAI Assistant in your research, please cite:

@software{phytoai_assistant_2025,
  title={PhytoAI Assistant: Interactive AI Tool for Phytotherapy Research},
  author={Tantcheu, Cedric},
  year={2025},
  url={https://huggingface.co/spaces/Gatescrispy/phytoai-assistant},
  note={Interactive Streamlit application for natural compound bioactivity exploration}
}

👨‍💻 About the Developer

Cedric Tantcheu - AI & Phytotherapy Research Specialist

🎓 Expertise in cheminformatics, machine learning, and natural product research
🔬 Focus on AI-driven drug discovery from traditional medicine
🌍 Committed to open science and global health solutions

🌿 Advancing phytotherapy research through intelligent technology

Built with ❤️ for the global research community