Pharmacophore-based virtual screening for identifying β5 subunit inhibitor of 20S proteasome

Area of Science:

• Biochemistry and Molecular Biology
• Drug Discovery
• Computational Chemistry

Background:

• The proteasomal system is vital for cell homeostasis; its dysregulation is linked to diseases like cancer.
• The proteasome's β5 subunit is a key target for therapeutic inhibition.
• Developing specific proteasome inhibitors is crucial for treating related disorders.

Purpose of the Study:

• To identify novel small molecules that inhibit the proteasome's β5 subunit.
• To utilize computational methods for efficient screening and validation of potential inhibitors.

Main Methods:

• Pharmacophore modeling based on a known proteasome inhibitor (HU10).
• Virtual screening of the ZINC database using ZINCPharmer.
• Molecular docking (iDock) and molecular dynamics (MD) simulations for hit validation.
• MM-PBSA calculations to assess binding affinities.

Main Results:

• Identified five promising hit compounds with superior predicted binding potential compared to HU10.
• Molecular dynamics simulations confirmed the stability of the identified complexes.
• The identified ligands demonstrate potential as starting points for new proteasome inhibitor drug development.

Conclusions:

• Computational screening successfully identified potent inhibitors of the proteasome β5 subunit.
• The validated hits represent promising candidates for further development into therapeutic agents.
• This approach provides a foundation for designing new drugs targeting proteasome-related diseases.