QuteMol

QuteMol

QuteMol is an open-source, cross-platform molecular visualization program for proteins, small molecules, and quantum chemistry. It allows interactive visualization and basic analysis of molecular systems.
QuteMol image
chemistry proteins molecules visualization modeling

QuteMol: Open-Source Molecular Visualization

Cross-platform molecular visualization program for proteins, small molecules, and quantum chemistry with interactive visualization and basic analysis capabilities

What is QuteMol?

QuteMol is an open-source, cross-platform molecular visualization application designed for proteins, small molecules, and quantum chemistry. It enables users to visualize and analyze the structures and properties of molecular systems interactively.

Some key features of QuteMol include:

  • Intuitive user interface for manipulating molecular structures in 3D
  • Support for common file formats like PDB, XYZ, CIF, Gaussian outputs, etc.
  • Basic molecular editing tools for creating/modifying structures
  • Visual analysis tools like measurement, surface generation, animations etc.
  • Extensible through Python scripts and plugins
  • Available on Windows, Linux and macOS

As an open-source solution, QuteMol provides a free alternative for researchers and students to visualize and study molecular systems without expensive commercial software. The interactive 3D graphics and Python extensibility make it a versatile tool for molecular modeling, biochemistry education, and computational chemistry workflows.

QuteMol Features

Features

  1. Visualization of proteins, small molecules, and quantum chemistry results
  2. Ball-and-stick, licorice, backbone, ribbon, line, and surface representations
  3. Measurement tools for bond lengths, angles, and torsions
  4. Support for common file formats like PDB, XYZ, and Gaussian output
  5. Scripting interface for automation and analysis
  6. Plugin architecture for extending functionality
  7. Multi-language support

Pricing

  • Open Source

Pros

Free and open source

Cross-platform - runs on Windows, Mac, and Linux

Intuitive user interface

Wide range of visualization options

Extensible and customizable via plugins and scripts

Cons

Limited built-in analysis capabilities compared to commercial software

Steep learning curve for scripting and plugins

Small developer/user community


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