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Updated: Jun 28, 2026

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
Foldify: Web Application for Protein Structure Prediction
Romana Ďuráčiová1, Michaela Capandová1, Karel Berka2
1Institute of Computer Science, Masaryk University, Brno 628 00, Czech Republic.
Journal of Chemical Information and Modeling
|June 26, 2026
Summary
Foldify simplifies protein structure prediction by integrating multiple advanced models (AlphaFold 3, AlphaFold 2, ColabFold, OmegaFold, ESMFold) into an accessible graphical interface. This tool enhances usability for researchers in structural biology.
Area of Science:
- Structural Biology
- Computational Biology
- Bioinformatics
Background:
- Recent protein structure prediction models offer significant advancements but require substantial hardware and expertise.
- Accessibility remains a barrier to widespread adoption of these powerful tools.
Purpose of the Study:
- To present Foldify, a user-friendly graphical interface for accessing multiple protein structure prediction models.
- To democratize the use of cutting-edge prediction tools like AlphaFold 3 and ESMFold.
Main Methods:
- Integration of AlphaFold 3, AlphaFold 2, ColabFold, OmegaFold, and ESMFold into a single platform.
- Development of a web-based graphical user interface for sequence submission and model execution.
- Implementation of a scalable high-performance computing environment for stable operation.
Main Results:
- Foldify provides a unified platform for executing diverse protein structure prediction models.
- Users can visualize predicted structures online using Mol* Viewer or download them.
- A multi-result comparison mode allows direct visualization and qualitative assessment of prediction similarity.
Conclusions:
- Foldify significantly lowers the barrier to entry for utilizing advanced protein structure prediction models.
- The platform enhances research accessibility and facilitates comparative analysis of different prediction methods.
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