PymolFold: A PyMOL Plugin for API-Driven Structure Prediction and Quality Assessment
Abstract
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.
Fields of Study & Subjects
Protein Structure and Dynamics
Machine Learning in Materials Science
Enzyme Structure and Function
Publication details
- Journal / source
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Volume
- 66
- Issue
- 2
- Pages
- 829–833
- Publication date
- 2 January 2026
- Language
- EN