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This project is licensed under the PolyForm Noncommercial License 1.0.0 — see LICENSE. Free for academic, research, and other noncommercial use. Commercial use requires a separate commercial license. Contact: yousefi.bme@gmail.com, sbonn@uke.de

BioChemAIgent: An AI-driven Protein Modeling and Docking Framework for Structure-Based Drug Discovery

Computational and AI-based methods have advanced drug discovery, yet most remain task-specific and require substantial expert integration. We introduce BioChemAIgent, an agentic framework that integrates state-of-the-art AI models with established computational chemistry tools to enable end-to-end small molecule analysis, protein modeling, and molecular docking, with a chatbot interface accessible online. To foster community engagement and extensibility, we established an openly accessible user interface alongside a centralized registry that consolidates resources for developing and integrating next-generation tools in drug discovery and structural biology.

How to run

  1. Fist clone external MCP servers
cd external-mcp-servers
git clone https://github.com/Augmented-Nature/PDB-MCP-Server.git
git clone https://github.com/Augmented-Nature/ChEMBL-MCP-Server.git
git clone https://github.com/Augmented-Nature/Augmented-Nature-UniProt-MCP-Server.git
  1. Make user_data folder to writable from the docker
chmod 777 user_data
chmod -R 777 external-mcp-servers/
mv Augmented-Nature-UniProt-MCP-Server/ UniProt-MCP-Server/
mv docker_compose_deploy docker_compose
  1. Build the docker compose and then run it. The UI is accewssible via URL: http://localhost:3000
docker compose build --no-cache api web
docker compose up -d api web

To stop the platform

docker compose stop api web

Contributions

This repository provides a community-oriented registry specialized for the development of agentic systems for drug discovery and structural biology.

  • Domain experts can bring forward ideas to be implemented;
  • Developers can propose or refine MCP servers to broaden and improve the agent’s functionality.
  1. Create a new issue
  2. Select the template
    • Add feature to suggest new functionalities to be added,
    • Add MCP server to suggest an existing MCP server.
  3. Make a description of your suggestion and publish the issue.

Project status

BioChemAIgent is an open-source research framework for structure-based drug discovery. The method is described in a bioRxiv preprint and has not yet undergone peer review. The API may evolve as the framework is refined.

Citation

If you use BioChemAIgent, please cite:

Yousefi, B., Laubach, N. C., Heins, S., Testa, L., Gersting, S. W., & Bonn, S. (2025). BioChemAIgent: An AI-driven Protein Modeling and Docking Framework for Structure-Based Drug Discovery. bioRxiv, 2025-12.

License

This software is licensed under the PolyForm Noncommercial License 1.0.0 — see LICENSE.

Free for academic, research, and other noncommercial use. Commercial use — including use in proprietary pipelines, SaaS products, or any revenue-generating activity — requires a separate commercial license. Contact: yousefi.bme@gmail.com, sbonn@uke.de

SPDX-License-Identifier: PolyForm-Noncommercial-1.0.0

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