"Exploration of Novel Anticancerous Agents Targeting Human Aurora Kinase C"

Deepali Gupta1, Prakash Kumar Shukla2, Subarnarekha Chowdhury1

  • 1Department of Biophysics, All India Institute of Medical Sciences, Delhi, India.

PubMed

Insights

Computational drug discovery identified three potent Aurora Kinase C (AKC) inhibitors from millions of compounds. These novel drug candidates show promise for treating cancers linked to elevated AKC levels.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Chemistry

Background:

  • Aurora kinases (AKs) are crucial for cell cycle regulation, particularly chromosome segregation.
  • Aurora Kinase C (AKC) is implicated in various cancers, with elevated levels correlating to tumor aggressiveness and poor prognosis.
  • AKC is a significant therapeutic target for cancer drug discovery.

Purpose of the Study:

  • To identify novel AKC inhibitors using computational methods.
  • To screen a large compound library for potential AKC-targeting drugs.
  • To evaluate the binding interactions and stability of identified compounds with AKC.

Main Methods:

  • Structure-based virtual screening of 2,652,41 compounds from the NCI database.
  • Molecular docking to identify compounds interacting with AKC's ATP binding pocket.
  • 200-ns molecular dynamics simulations to assess interaction stability and pharmacokinetic properties.

Main Results:

  • Several compounds showed promising interactions with key AKC residues (Phe54, Lys72, Ala123, Glu121, Glu127).
  • Molecular dynamics simulations confirmed stable interactions for most identified compounds.
  • Three top drug candidates (90729, 37623, 134546) were identified with strong potential as AKC inhibitors.

Conclusions:

  • Computational screening and simulations successfully identified potent AKC inhibitors.
  • The identified candidates possess favorable pharmacokinetic properties.
  • Further in vitro and in vivo studies are warranted to validate the therapeutic potential of these compounds.

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