PyMOL
PyMOL visualizes biomolecular structures and generates publication-quality images to support structural analysis and communication of protein molecular structures.
Key Features:
- Extensive Shortcut Collection: The pymolshortcuts repository contains 241 Python functions ("shortcuts") that extend PyMOL's functionality.
- Functional Clustering: The shortcuts are organized into 25 functional groups to streamline retrieval and categorization.
- Innovative Molecular Representation Styles: A subset of shortcuts produces new molecular representation styles for visualization and structural analysis.
- Automated File Management: Shortcuts automate file saving by appending timestamps to filenames to prevent overwriting and standardize output.
- Web Integration: Shortcuts enable submission of search terms from PyMOL to a web browser to access online resources relevant to structures.
Scientific Applications:
- Structural visualization: Generation of detailed images and alternative representations of biomolecular structures, including proteins.
- Representation-driven analysis: Use of custom molecular representation styles to highlight structural features for analysis and presentation.
- Workflow automation: Automation of routine tasks such as timestamped file saving to support reproducible file management.
- Online resource linkage: Programmatic submission of queries to web resources to facilitate retrieval of external structural information.
- Productivity for analysis: Reduction of repetitive command assembly to allocate more researcher time to interpretation and analysis.
Methodology:
Development consists of creating Python functions that extend PyMOL; these functions are organized into functional groups and invoked by name at the PyMOL command prompt.
Topics
Details
- License:
- MIT
- Programming Languages:
- PyMOL, Python
- Added:
- 1/14/2020
- Last Updated:
- 11/22/2021
Operations
Publications
Mooers BHM. Shortcuts for faster image creation in PyMOL. Protein Science. 2019;29(1):268-276. doi:10.1002/pro.3781. PMID:31710740. PMCID:PMC6933860.
DOI: 10.1002/PRO.3781
PMID: 31710740
PMCID: PMC6933860
Funding: - Directorate for Biological Sciences: MCB‐1616845
- National Institute of General Medical Sciences: 20 GM103640
Links
Related Tools
pyproga
Relation: usedBy