PymolFold: A PyMOL Plugin for API-Driven Structure Prediction and Quality Assessment
Deep learning has transformed protein structure prediction, yet most state-of-the-art models remain challenging for experimental scientists to access. To address this, we present PymolFold, an open-source PyMOL plugin that seamlessly integrates cutting-edge structure predictors accessible via application programming interfaces into the molecular visualization environment. PymolFold supports both graphical and command-line interfaces for flexible usage and incorporates a structural quality assessment tool for the quantitative evaluation of predictions against reference structures. Together, these features establish a unified "predict-visualize-analyze" workflow, lowering technical barriers and broadening access to advanced structural modeling. PymolFold is available at https://github.com/jinyuansun/PymolFold.
Authors
- Jinyuan Sun
- Yifan Deng
Institutions
- Urology Team (US)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-01-02
- DOI
- https://doi.org/10.1021/acs.jcim.5c02410
- Primary Topic
- Protein Structure and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00