aiagents4pharma 1.3.2

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

🤖 AIAgents4Pharma

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 three intelligent agents, each designed to simplify and enhance access to specialized data in biology:

• Talk2BioModels: Engage directly with mathematical models in systems biology.
• Talk2Cells (Coming soon): Query and analyze sequencing data with ease.
• Talk2KnowledgeGraphs (Coming soon): Access and explore complex biological knowledge graphs for insightful data connections.

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Overview of Agents

1. Talk2BioModels

Talk2BioModels is an AI agent designed to facilitate interaction with mathematical models in systems biology. Systems biology models are critical in understanding complex biological mechanisms, but they’re often inaccessible to those without coding or mathematical expertise. Talk2BioModels simplifies this, enabling researchers to focus on analysis and interpretation rather than on programming. With Talk2BioModels, users can interact directly with these models through natural language. By simply asking questions or making requests, users can:

• Forward simulation of both internal and open-source models (BioModels).
• Adjust parameters within the model to simulate different conditions.
• Query simulation results.

2. Talk2Cells (Coming soon)

Talk2Cells is being developed to provide direct access to and analysis of sequencing data, such as RNA-Seq or DNA-Seq, using natural language.

3. Talk2KnowledgeGraphs (Work in Progress)

Talk2KnowledgeGraphs is an agent designed to enable interaction with biological knowledge graphs (KGs). KGs integrate vast amounts of structured biological data into a format that highlights relationships between entities, such as proteins, genes, and diseases.

Getting Started

Prerequisites

• Python 3.10+
• Git
• Required libraries specified in requirements.txt

Installation

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

   export OPENAI_API_KEY = ....
   

4. Launch the agent: To launch the Talk2BioModels agent, run:

   streamlit run app/frontend/streamlit_app.py
   

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

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Usage

Talk2BioModels currently provides an interactive console where you can enter natural language queries to simulate models, adjust parameters, and query the simulated results.

More detailed usage examples, including sample data for Talk2Cells and Talk2KnowledgeGraphs, will be provided as development progresses.

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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

Current Needs

• Beta testers for Talk2BioModels.
• Developers with experience in natural language processing, bioinformatics, or knowledge graphs for contributions to AIAgents4Pharma.

Check out our CONTRIBUTING.md for more information.

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Roadmap

Completed

• Talk2BioModels: Initial release with core capabilities for interacting with systems biology models.

Planned

• User Interface: Interactive web UI for all agents.
• Talk2Cells: Integration of sequencing data analysis tools.
• Talk2KnowledgeGraphs: Interface for biological knowledge graph interaction.

We’re excited to bring AIAgents4Pharma to the bioinformatics and pharmaceutical research community. Together, let’s make data-driven biological research more accessible and insightful.

Get Started with AIAgents4Pharma today and transform the way you interact with biological data.