Heat-shock protein 90 (Hsp90) as anticancer target for drug discovery: an ample computational perspective

Hezekiel M Kumalo1, Soumendranath Bhakat1,2, Mahmoud E Soliman1

  • 1School of Health Sciences, University of KwaZulu-Natal, Westville, Durban, 4001, South Africa.

Insights

This review details computational models for designing heat-shock protein 90 (Hsp90) inhibitors as novel anticancer drugs. It highlights Hsp90

Area of Science:

  • Oncology
  • Computational Chemistry
  • Drug Discovery

Background:

  • Cancer remains a leading cause of death with over 100 types.
  • Combination chemotherapy targeting individual proteins is a modern approach.
  • Heat-shock protein 90 (Hsp90) is a key target for novel anticancer agents.

Purpose of the Study:

  • To provide a systematic overview of computational models for Hsp90 inhibitor design.
  • To consolidate information on molecular modeling efforts for Hsp90-targeted anticancer drugs.
  • To aid researchers in discovering new anticancer agents targeting Hsp90.

Main Methods:

  • Systematic review of computational modeling approaches.
  • Analysis of molecular modeling techniques applied to Hsp90 inhibitor design.
  • Integration of experimental Hsp90 structural data (X-ray, NMR) with computational methods.

Main Results:

  • Identified and categorized various computational models for Hsp90 inhibitor design.
  • Demonstrated the utility of molecular modeling in drug discovery workflows.
  • Highlighted the potential of Hsp90 as a versatile target for broad-spectrum cancer therapy.

Conclusions:

  • Molecular modeling is crucial for the rational design of Hsp90 inhibitors.
  • This review offers a comprehensive resource for researchers in anticancer drug discovery.
  • Hsp90 inhibition represents a promising strategy for developing new cancer chemotherapeutics.