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Related Experiment Video

Updated: Mar 14, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

PyMOL360: Multi-user gamepad control of molecular visualization software.

Patrick V Holec¹, Benjamin J Hackel²

¹Department of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, Minneapolis, Minnesota, 55455.

Journal of Computational Chemistry

|September 21, 2016

Summary

PyMOL360 enables collaborative biomolecular visualization using gamepad controllers. This interactive tool enhances molecular structure exploration for education and research, promoting wider accessibility and engagement.

Keywords:

PyMOL collaboration gamepad molecular visualization

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Area of Science:

Biochemistry
Structural Biology
Scientific Visualization

Background:

Interactive visualization of biomolecular structure is crucial for scientific understanding and education.
Current visualization platforms often lack collaborative features for simultaneous multi-user engagement.
There is a need for accessible and interactive tools to explore complex molecular data.

Purpose of the Study:

To introduce PyMOL360, a novel system for interactive biomolecular visualization.
To enable simultaneous multi-user control of molecular visualization software via gamepad controllers.
To enhance collaborative learning and research in structural biology.

Main Methods:

Development of PyMOL360, integrating PyMOL molecular visualization software with multiple gamepad controllers.
Implementation of extensive modularity for user-defined configurations and default settings for ease of use.
Demonstration of software capabilities including molecule selection, perspective modification, and style/color adjustments.

Main Results:

PyMOL360 facilitates collaborative control of PyMOL, allowing multiple users to interact with molecular models simultaneously.
The software supports customization of viewing perspectives, molecular styles, colors, and highlighted residues or chains.
User-friendly default settings and modular design promote adoption by diverse user groups.

Conclusions:

PyMOL360 offers a unique, collaborative approach to biomolecular structure visualization.
The tool enhances accessibility and engagement for scientists, students, and educators.
Open-source availability encourages further development and application in various scientific contexts.