Identifying potential ligand molecules EGFR mediated TNBC targeting the kinase domain-identification of customized

Hima Vyshnavi1, Krishnan Namboori1

  • 1Computational Chemistry Group (CCG), Amrita Molecular Modeling and Synthesis Research Lab, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.

Abstract

Insights

This study used pharmacogenomics to find new drugs targeting epidermal growth factor receptor (EGFR) for triple-negative breast cancer (TNBC). Researchers identified specific drug derivatives that interact with EGFR variants across different populations.

Area of Science:

  • Pharmacogenomics
  • Computational Biology
  • Drug Discovery

Background:

  • Triple-negative breast cancer (TNBC) is an aggressive cancer subtype with negative hormone receptor status.
  • Targeting the epidermal growth factor receptor (EGFR) is a potential therapeutic strategy for TNBC.

Purpose of the Study:

  • To identify customized drug molecules that inhibit EGFR by exploring genetic variants.
  • To utilize pharmacogenomics approaches for personalized medicine in TNBC treatment.

Main Methods:

  • Identified genetic variants across continental populations using a pharmacogenomics approach.
  • Generated 3D protein structures of EGFR variants via homology modeling.
  • Performed molecular docking and dynamic simulations of kinase inhibitors against EGFR models.

Main Results:

  • Few existing kinase inhibitors effectively interact with the sensitive EGFR variants.
  • Identified specific drug derivatives that show promising interaction with EGFR models across diverse populations.

Conclusions:

  • Highlights the critical role of genetic variants in drug response and personalized drug design.
  • Provides a foundation for developing customized EGFR inhibitors for TNBC patients based on their genetic profiles.

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