FieldScreen: virtual screening using molecular fields. Application to the DUD data set.

Area of Science:

• Computational chemistry
• Drug discovery
• cheminformatics

Background:

• Virtual screening (VS) is crucial for identifying drug candidates.
• Ligand-based VS methods are valuable when protein structures are absent.
• Scaffold hopping requires robust methods to explore novel chemical space.

Purpose of the Study:

• To introduce and validate FieldScreen, a novel ligand-based VS method.
• To assess FieldScreen's efficacy for scaffold hopping.
• To compare FieldScreen's performance against traditional docking methods.

Main Methods:

• FieldScreen utilizes 3D molecular fields for ligand-based VS.
• Validation was performed using a clustered Directory of Useful Decoys (DUD).
• Performance was evaluated across thirteen pharmaceutically relevant targets against DOCK.

Main Results:

• FieldScreen demonstrated superior early chemotype enrichment compared to DOCK.
• Hits identified by FieldScreen consistently had lower molecular weights.
• FieldScreen proved more robust than docking into homology or apo structures when X-ray data was missing.

Conclusions:

• FieldScreen is a powerful ligand-based VS tool, particularly effective for scaffold hopping.
• The method offers advantages in hit quality (lower molecular weight) and applicability without protein structures.
• FieldScreen represents a significant advancement for early-stage drug discovery and lead identification.