aiagents4pharma 1.20.1

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

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.

Getting Started

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. [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.

5. 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.

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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!

• Talk2Biomodels/Talk2Cells: @gurdeep330 @lilijap @dmccloskey
• Talk2KnowledgeGraphs: @awmulyadi @dmccloskey
• Talk2Scholars: @ansh-info @gurdeep330 @dmccloskey

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.

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Feedback

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