BET inhibitors in cancer therapeutics: a patent review

Anirban Ghoshal1, D Yugandhar1,2, Ajay Kumar Srivastava1,2

  • 1a Medicinal Chemistry and Pharmacology Division , CSIR - Indian Institute of Chemical Technology , Hyderabad , India.

Abstract

Insights

Bromodomain and Extra Terminal (BET) protein inhibition is a promising strategy for novel cancer therapeutics. Research in 2015 focused on BET inhibitors, with seven small molecules currently in clinical trials for cancer drug development.

Area of Science:

  • Oncology
  • Medicinal Chemistry
  • Drug Discovery

Background:

  • Bromodomain and Extra Terminal (BET) protein inhibition is an emerging strategy for advanced cancer therapeutics.
  • Over thirty patents were published in 2015 concerning cancer chemotherapeutics targeting BET proteins.
  • Seven small molecule BET inhibitors are currently undergoing clinical trials for anti-cancer drug development.

Purpose of the Study:

  • To review important patents from 2015 on the development of BET inhibitors as potential cancer therapeutics.
  • To analyze the structural chemical space, therapeutic applications, chemical classes, and structural modifications of these inhibitors.
  • To provide an overview of BET inhibitors currently in clinical trials.

Main Methods:

  • Patent analysis focusing on BET inhibitors published in 2015.
  • Review of structural chemical space related to BET inhibitors.
  • Compilation of data on therapeutic applications, chemical classes, and clinical trial status.

Main Results:

  • Significant patent activity in 2015 highlights the growing interest in BET inhibitors for cancer.
  • A diverse range of chemical classes and structural modifications are being explored.
  • Several BET inhibitors have advanced to clinical trials, indicating therapeutic potential.

Conclusions:

  • BET proteins represent a promising target class for developing novel anti-cancer agents.
  • Further molecular studies are needed to elucidate affected biological pathways and ensure selectivity among BET proteins.
  • In-silico molecular modeling can aid in designing selective BET inhibitors for anti-cancer drug discovery.

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