Dockey: a modern integrated tool for large-scale molecular docking and virtual screening.

Area of Science:

• Computational chemistry
• Drug discovery
• Structural biology

Background:

• Molecular docking is crucial for computer-aided drug design and pharmaceutical research.
• Existing tools for AutoDock, a popular molecular docking software, often have outdated interfaces, lack cross-platform compatibility, and limited evaluation metrics.
• These limitations hinder efficient virtual screening and lead compound candidate evaluation.

Purpose of the Study:

• To develop Dockey, an intuitive graphical interface tool that streamlines the AutoDock docking pipeline.
• To overcome the limitations of existing tools by providing a flexible, cross-platform solution.
• To facilitate large-scale molecular docking and analysis for researchers, especially beginners.

Main Methods:

• Dockey implements a complete docking pipeline including molecular sanitization, preparation, parallelized docking, interaction detection, and conformation visualization.
• It supports detection of non-covalent interactions and cross-docking between multiple receptors and ligands.
• The tool can automatically dock thousands of ligands to multiple receptors and analyze results in parallel, storing data in a shareable project file.

Main Results:

• Dockey offers a flexible and intuitive interface for molecular docking.
• It enables automated, large-scale docking of thousands of ligands to multiple receptors.
• The tool facilitates parallel analysis of docking results and provides a shareable project file format.

Conclusions:

• Dockey addresses limitations of current molecular docking tools, offering enhanced usability and functionality.
• Its comprehensive features and parallel processing capabilities support efficient drug discovery and virtual screening.
• Dockey is expected to be valuable for researchers, particularly those new to molecular docking, due to its simplified operations.