Foldify: Web Application for Protein Structure Prediction

Protein structure prediction models released in recent years have presented tectonic changes in the field of structural biology. However, their potential has not yet been harnessed to its fullest due to their demands on hardware and technical expertise required for their usage. In this paper, we present Foldify, which makes prediction models accessible, integrating AlphaFold 3, AlphaFold 2, ColabFold, OmegaFold, and ESMFold into a single user-friendly, easy-to-use graphical interface, and ensures their stable operation within a scalable high-performance computing environment. Foldify accepts protein sequences, submitted through a web-based graphical interface as input, and allows executing multiple prediction models on the same protein sequence. The predicted protein structures can be directly visualized online through Mol* Viewer or can be downloaded from the website. Furthermore, the multiresult comparison mode allows visualization of multiple predicted structures in a single Mol* window, accompanied by qualitative metrics of the models' prediction similarity. The Foldify application is freely available at https://foldify-open.cloud.e-infra.cz/ with no login required.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-06-26
DOI
https://doi.org/10.1021/acs.jcim.6c01154
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
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article

Foldify: Web Application for Protein Structure Prediction

Matej Antol, Karel Berka, Radka Svobodová Vařeková, Terézia Slanináková et al.
Journal of Chemical Information and Modeling
Protein Structure and Dynamics
article

Foldify: Web Application for Protein Structure Prediction

Matej Antol, Karel Berka, Radka Svobodová Vařeková, Terézia Slanináková, Michaela Capandová, Lukáš Hejtmánek, Kristian Kovac, Romana Ďuráčiová
article en

Abstract

Protein structure prediction models released in recent years have presented tectonic changes in the field of structural biology. However, their potential has not yet been harnessed to its fullest due to their demands on hardware and technical expertise required for their usage. In this paper, we present Foldify, which makes prediction models accessible, integrating AlphaFold 3, AlphaFold 2, ColabFold, OmegaFold, and ESMFold into a single user-friendly, easy-to-use graphical interface, and ensures their stable operation within a scalable high-performance computing environment. Foldify accepts protein sequences, submitted through a web-based graphical interface as input, and allows executing multiple prediction models on the same protein sequence. The predicted protein structures can be directly visualized online through Mol* Viewer or can be downloaded from the website. Furthermore, the multiresult comparison mode allows visualization of multiple predicted structures in a single Mol* window, accompanied by qualitative metrics of the models' prediction similarity. The Foldify application is freely available at https://foldify-open.cloud.e-infra.cz/ with no login required.

Journal of Chemical Information and Modeling
Masaryk University (CZ), Czech Academy of Sciences, Institute of Computer Science (CZ), Palacký University Olomouc (CZ)
Ministerstvo Školství, Mládeže a Tělovýchovy, Central European Institute of Technology, Masarykova Univerzita
Openalex Percentile: Top 11%
Protein Structure and Dynamics
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