LigQ: A Webserver to Select and Prepare Ligands for Virtual Screening

Area of Science:

• Computational chemistry
• Drug discovery
• Bioinformatics

Background:

• Virtual screening is crucial for identifying small molecule inhibitors against molecular targets.
• Current methods often require evaluating numerous compounds, increasing costs and reducing efficiency.
• There is a need for methods that enrich compound sets with potential binders.

Purpose of the Study:

• To present LigQ, a free webserver for optimizing virtual screening.
• To enable identification of protein binding pockets and known/potential ligands.
• To select small, enriched sets of commercial compounds for virtual screening.

Main Methods:

• LigQ determines optimal protein structures and ligand binding pockets.
• It identifies known binders and ligands for similar protein domains.
• The server selects commercial compounds enriched in potential binders for screening.

Main Results:

• LigQ demonstrated significant enrichment factors exceeding 10% in tests.
• The webserver effectively retrieves true ligands from large compound datasets.
• It successfully prepares selected compounds for virtual screening.

Conclusions:

• LigQ is a valuable tool for enhancing the efficiency of virtual screening.
• The webserver aids in reducing the cost and time associated with drug discovery.
• LigQ facilitates the selection of promising compound libraries for experimental validation.