SwissDock, a protein-small molecule docking web service based on EADock DSS

Area of Science:

• Computational Biology
• Molecular Modeling
• Bioinformatics

Background:

• Molecular recognition is fundamental to life science processes at the atomic level.
• Predicting molecular interactions using docking software is a complex but crucial task.
• Docking programs have broad applications in areas like protein engineering and drug design.

Purpose of the Study:

• To present SwissDock, a web server designed for docking small molecules onto target proteins.
• To provide an accessible platform for scientists to perform and retrieve molecular docking predictions.
• To facilitate the generalization of molecular docking tool usage beyond traditional communities.

Main Methods:

• Utilizes the EADock DSS engine for docking calculations.
• Incorporates setup scripts for automated preparation of protein and ligand input files.
• Features an intuitive Ajax/HTML interface for user interaction and a programmatic SOAP interface for automated tasks.

Main Results:

• An efficient web server interface for submitting docking jobs and retrieving predicted complexes.
• Availability of template programs in Perl, Python, and PHP for automated docking.
• Access to a curated database of protein-ligand complexes and community interaction tools (wiki, forum).

Conclusions:

• SwissDock offers a generalized and accessible solution for molecular docking.
• The platform aims to empower a wider range of scientists with molecular modeling capabilities.
• It represents a significant step towards democratizing the use of docking tools.