AI-driven Structural Bioinformatics | Collaborative Research Team
Welcome to ProtMind, a collaborative team developing innovative tools in structural bioinformatics.
We integrate conventional computational methods with AI and machine learning to tackle challenges in:
- Protein structure analysis
- Molecular modeling
- Drug discovery
- Computational biology workflows
Our open-source projects, scripts, and pipelines make bioinformatics more accessible, efficient, and accurate for researchers, developers, and enthusiasts.
A PyMOL plugin that automates protein mutagenesis workflows:
- Single & batch mutation modes
- CSV-driven high-throughput mutagenesis
- Step-by-step and individual residue mutation modes
- Export as PDB or PyMOL session files
PyBMW is our flagship tool — ProtMind is continuously developing AI-powered pipelines for molecular modeling, structural analysis, and protein engineering.
- AI/ML models for protein property and mutation prediction
- Pipelines for molecular modeling, drug-target discovery, and structural simulations
- Plugins, scripts, and utilities integrating computation with biology
- Open-source projects designed for research, learning, and practical applications
| Timeline | Goals |
|---|---|
| Next 3–6 months | PyBMW v2 with GUI enhancements & ML prediction module |
| 6–12 months | Launch 2–3 new tools for molecular modeling & protein engineering |
| 12–24 months | Package prototypes for startup incubation and patent filing |
| Ongoing | Expand open-source toolkit, documentation, and tutorials |
We welcome researchers, developers, and students to collaborate:
- ⭐ Star our repositories
- 🧑💻 Fork and contribute improvements or new features
- 📨 Open issues to discuss features or report bugs
- Share our tools to grow the ProtMind community
ProtMind — Collaborating to unlock the molecular world through AI and open-source innovation.