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PyGOLD: a python based API for docking based virtual screening workflow generation.

Hitesh Patel1, Tobias Brinkjost1,2, Oliver Koch1

  • 1Faculty of Chemistry and Chemical Biology.

Bioinformatics (Oxford, England)
|April 12, 2017
PubMed
Summary
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PyGOLD is a Python module that automates molecular docking workflows. It enables seamless integration of the GOLD docking software into automated virtual screening pipelines, saving computational time in drug discovery.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • Molecular docking is crucial for structure-based drug discovery but computationally intensive.
  • Virtual screening workflows often integrate multiple computational steps.
  • Automating these workflows is key to efficient drug development.

Purpose of the Study:

  • To develop a Python module, PyGOLD, for automating molecular docking.
  • To enable seamless integration of the GOLD docking software into automated workflows.
  • To facilitate efficient virtual screening by managing GOLD configuration files programmatically.

Main Methods:

  • PyGOLD is implemented as a Python module.
  • It allows parsing, editing, and writing of GOLD configuration files.

Related Experiment Videos

  • The module integrates with existing Python-based workflow automation tools.

    • Main Results:

    • PyGOLD successfully automates the integration of GOLD docking into virtual screening workflows.
    • It eliminates the need for manual intervention in changing GOLD configuration files.
    • Enables large-scale, automated docking-based virtual screening.

    Conclusions:

    • PyGOLD significantly enhances the efficiency of automated virtual screening.
    • It is a valuable tool for computational chemistry and medicinal chemistry research.
    • Facilitates faster identification of potential drug candidates.