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AI Agents for drug discovery, drug development, and other pharmaceutical R&D.

Project description

Talk2BioModels Talk2Cells Talk2KnowledgeGraphs TESTS Talk2Scholars GitHub Release Python Version from PEP 621 TOML Docker Pulls

Introduction

Welcome to AIAgents4Pharma – an open-source project by Team VPE that brings together AI-driven tools to help researchers and pharma interact seamlessly with complex biological data.

Our toolkit currently consists of the following agents:

  • Talk2BioModels (v1 released; v2 in progress): Engage directly with mathematical models in systems biology.
  • Talk2KnowledgeGraphs (v1 in progress): Access and explore complex biological knowledge graphs for insightful data connections.
  • Talk2Scholars (v1 in progress): Get recommendations for articles related to your choice. Download, query, and write/retrieve them to your reference manager (currently supporting Zotero).
  • Talk2Cells (v1 in progress): Query and analyze sequencing data with ease.

AIAgents4Pharma

Getting Started

Python Version from PEP 621 TOML

Installation

Option 1: PyPI

pip install aiagents4pharma

Check out the tutorials on each agent for detailed instrcutions.

Option 2: docker hub

Please note that this option is currently available only for Talk2Biomodels.

  1. Pull the image
    docker pull virtualpatientengine/talk2biomodels
    
  2. Run a container
    docker run -e OPENAI_API_KEY=<openai_api_key> -e NVIDIA_API_KEY=<nvidia_api_key> -p 8501:8501 virtualpatientengine/talk2biomodels
    
    You can create a free account at NVIDIA and apply for their free credits here.

Option 3: git

  1. Clone the repository:

    git clone https://github.com/VirtualPatientEngine/AIAgents4Pharma
    cd AIAgents4Pharma
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Initialize OPENAI_API_KEY and NVIDIA_API_KEY

    export OPENAI_API_KEY=....
    
    export NVIDIA_API_KEY=....
    

    You can create a free account at NVIDIA and apply for their free credits here.

  4. Initialize ZOTERO_API_KEY and ZOTERO_USER_ID

    export ZOTERO_API_KEY=....
    export ZOTERO_USER_ID=....
    
  5. [Optional] Initialize LANGSMITH_API_KEY

    export LANGCHAIN_TRACING_V2=true
    export LANGCHAIN_API_KEY=<your-api-key>
    

    Please note that this will create a new tracing project in your Langsmith account with the name T2X-xxxx, where X can be B (Biomodels), S (Scholars), KG (KnowledgeGraphs), or C (Cells). If you skip the previous step, it will default to the name default. xxxx will be the 4-digit ID created for the session.

  6. Launch the app:

    streamlit run app/frontend/streamlit_app_<agent>.py
    

    Replace with the agent name you are interested to launch.

For detailed instructions on each agent, please refer to their respective modules.


Contributing

We welcome contributions to AIAgents4Pharma! Here’s how you can help:

  1. Fork the repository

  2. Create a new branch for your feature (git checkout -b feat/feature-name)

  3. Commit your changes (git commit -m 'feat: Add new feature')

  4. Push to the branch (git push origin feat/feature-name)

  5. Open a pull request and reach out to any one of us below via Discussions:

    Note: We welcome all contributions, not just programming-related ones. Feel free to open bug reports, suggest new features, or participate as a beta tester. Your support is greatly appreciated!

Current Needs

  • Beta testers for Talk2BioModels and Talk2Scholars.
  • Developers with experience in Python and Bioinformatics and/or knowledge graphs for contributions to AIAgents4Pharma.

Feel free to reach out to us via Discussions.

Check out our CONTRIBUTING.md for more information.


Feedback

Questions/Bug reports/Feature requests/Comments/Suggestions? We welcome all. Please use Isssues or Discussions 😀

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