research-toolingResearch Tooling & Frameworks
Research Tooling & MLOps · 3D Molecular Visualization

PyMOL Molecular Graphics System

By Schrödinger

The premier open-source foundation and commercial molecular visualization software

PyMOL is the standard 3D molecular visualization system used by structural biologists and computational chemists worldwide to render publication-quality images of proteins, nucleic acids, and drug complexes.

High-resolution ray-tracing for publication-ready molecular structures and figuresComprehensive measurement tools (distances, hydrogen bonds, angles, surface area)Extensible Python scripting API for automated structural rendering and analysisIntegration with electron density maps and crystallographic symmetry tools
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Overview

PyMOL is the standard 3D molecular visualization system used by structural biologists and computational chemists worldwide to render publication-quality images of proteins, nucleic acids, and drug complexes.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 20/09/2026, 11:09:40

Key Features

  • High-resolution ray-tracing for publication-ready molecular structures and figures
  • Comprehensive measurement tools (distances, hydrogen bonds, angles, surface area)
  • Extensible Python scripting API for automated structural rendering and analysis
  • Integration with electron density maps and crystallographic symmetry tools

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application
Structural biology, drug-target complex visualization, and protein-protein interface analysis
Research Workflow
Load PDB/mmCIF -> style secondary structures and binding pockets -> export high-res figures
Compute & Hardware
Standard desktop or laptop with OpenGL support
Licensing & Academic Use
Schrödinger Commercial License / Open-Source PyMOL (Python-based)
Documented Evidence
View validation publication / source ↗

Cite this Tool

Use this citation format when referencing PyMOL Molecular Graphics System in scientific publications and benchmark papers.

@software{pymol_2026,
  title = {{PyMOL Molecular Graphics System}},
  author = {{Schrödinger}},
  year = {2026},
  url = {https://pymol.org},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations streamed from Europe PMC and PubMed for PyMOL Molecular Graphics System.

⏳ Fetching real-time literature from Europe PMC & PubMed...

Technical / Product Information

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typeSoftware Tool
Access modeCommercial & Open Source Build
AI roleStructural Visualization
Input dataNot recorded
Output dataNot recorded
Licence conditionsSchrödinger Commercial License / Open-Source PyMOL (Python-based)
Commercial eligibilityCommercial licenses available with incentive support; open-source build available
Compute requirementsStandard desktop or laptop with OpenGL support
ValidationNot recorded
Type3D Molecular visualization software
Intended useNot recorded
CompatibilityNot recorded
ManufacturerSchrödinger, Inc.
Biological applicationStructural biology, drug-target complex visualization, and protein-protein interface analysis
Research workflowLoad PDB/mmCIF -> style secondary structures and binding pockets -> export high-res figures
Evidence levelFeatured in tens of thousands of structural biology papers across Nature, Science, and PDB
Integration evidencehttps://pymol.org
Laboratory handoffVisualizes mutations for site-directed mutagenesis experiments
AvailabilityAvailable for Windows, macOS, and Linux
Price / accessCommercial license / Free open-source build

Research fit & compatibility

No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

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FAQ

Where is this product available?

Available for Windows, macOS, and Linux

How is pricing handled?

Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.

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Peer Reviews & Community Ratings

Feedback from researchers and computational biologists evaluating PyMOL Molecular Graphics System.

5.0
★★★★★Based on 0 researcher evaluations
Biological Accuracy
4.8/5
Ease of Installation
4.3/5
Documentation & Code
4.6/5