Hsp90 inhibitors, part 2: combining ligand-based and structure-based approaches for virtual screening application

Area of Science:

• Medicinal Chemistry
• Drug Discovery
• Computational Chemistry

Background:

• Heat shock protein 90 (Hsp90) is a crucial target for pharmaceutical development.
• Developing novel Hsp90 inhibitors remains a significant area of research.

Purpose of the Study:

• To perform virtual screening for novel heat shock protein 90 (Hsp90) inhibitors.
• To identify potential drug candidates for Hsp90-related diseases.

Main Methods:

• Utilized a combination of Autodock and Surflex-Sim (LB) scoring functions for virtual screening.
• Employed 3-D Quantitative Structure-Activity Relationship (QSAR) models for predictive analysis.
• Applied a mixed ligand-based (LB) and structure-based (SB) protocol to screen the NCI Diversity Set.

Main Results:

• Screened 1785 compounds from the NCI Diversity Set.
• Selected and biologically tested 80 compounds.
• Identified four derivative compounds exhibiting IC50 values between 18 and 63 μM as preliminary hits.

Conclusions:

• The study successfully identified novel Hsp90 inhibitor candidates through integrated virtual screening methods.
• The identified hits provide a foundation for subsequent medicinal chemistry optimization.
• This approach demonstrates the utility of combined structure-based and ligand-based virtual screening in drug discovery.