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Related Experiment Video

Updated: May 11, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

OpenStructure: an integrated software framework for computational structural biology.

M Biasini¹, T Schmidt, S Bienert

¹Biozentrum Universität Basel, University of Basel, Klingelbergstrasse 50-70, 4056 Basel, Switzerland.

Acta Crystallographica. Section D, Biological Crystallography

|May 2, 2013

Summary

This summary is machine-generated.

The OpenStructure framework integrates diverse data for structural biology research. This latest version enhances combining molecular structures with sequence and density map information.

Keywords:

OpenStructure computational structural biology

Related Experiment Videos

Last Updated: May 11, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

Area of Science:

Structural biology
Computational biology
Bioinformatics

Background:

Structural biology research integrates diverse data sources like evolutionary information, density maps, and proteomics data.
The OpenStructure software framework facilitates the seamless integration of heterogeneous information for structural biology.
The framework offers C++ libraries accessible via Python and a 3D graphics module for visualizing molecular structures and density maps.

Purpose of the Study:

To outline the latest developments in the OpenStructure framework.
To demonstrate the framework's capabilities in integrating diverse data types.
To showcase practical applications through code examples.

Main Methods:

Development of C++ libraries with Python accessibility.
Integration of a sophisticated interactive 3D graphics module.
Illustrative code examples combining molecular coordinates, sequence data, and density maps.

Main Results:

The OpenStructure framework has been updated with new developments.
Demonstrated successful integration of molecular structure coordinates with sequence data and density maps.
The framework provides a robust platform for advanced structural biology analyses.

Conclusions:

The OpenStructure framework is a powerful, versatile tool for modern structural biology.
The latest developments enhance its utility for integrating and visualizing complex biological data.
The framework is available under LGPL version 3 license for broad accessibility.