Boosting the Full Potential of PyMOL with Structural Biology Plugins

Area of Science:

• Structural Bioinformatics
• Computational Biology
• Molecular Graphics

Background:

• The field of structural bioinformatics has seen exponential growth in available tools, leading to a complex network of methods and software.
• Life scientists increasingly rely on these computational resources for analyzing biomolecular structures.

Purpose of the Study:

• To review the plugins and features that establish PyMOL as a suitable environment for structural bioinformatics analyses.
• To highlight PyMOL's role as an open platform for integrating expert knowledge into molecular visualization tools.

Main Methods:

• Review of existing literature and PyMOL plugins.
• Analysis of PyMOL's capabilities for biomolecular visualization and data analysis.

Main Results:

• PyMOL serves as a key platform for implementing expert knowledge into an accessible molecular graphics tool.
• Numerous plugins and features enhance PyMOL's utility for structural bioinformatics tasks.

Conclusions:

• PyMOL is an eligible and valuable environment for supporting diverse structural bioinformatics analyses.
• Its open platform nature facilitates the integration of specialized knowledge for broader scientific application.