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Updated: May 20, 2025

Real-Time Monitoring of Aurora kinase A Activation using Conformational FRET Biosensors in Live Cells
Published on: July 30, 2020
"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.
Abstract:
Aurora kinases (AKs), a family of serine/threonine kinases, play a vital role in chromosome segregation during the cell cycle (Mountzios et al., 2008). This family includes Aurora Kinase A (AKA), Aurora Kinase B (AKB), and Aurora Kinase C (AKC). AKA and AKB are active during mitosis, while AKC is involved mostly in germ cell as well as somatic cells. Elevated levels of AKC have been found in several cancer cell lines including breast, cervical, thyroid, colorectal, and liver cancers, making it a significant target for cancer therapy (Tang et al., 2017). In cancers such as glioblastoma and prostate cancer, for example, AKC up regulation has been associated with increased tumor aggressiveness, highlighting its potential role in tumor progression and poor prognosis. Our study employs computational methods, including molecular docking and structure-based virtual screening, to explore a data set of 2 65 241 compounds from the National Cancer Institute (NCI) database, focusing on AKC as a potential target for drug discovery. Through docking studies, several promising compounds that interact with the enzyme's ATP binding pocket, particularly with residues Phe54, Lys72, Ala123, Glu121 and Glu127 of AKC, were identified. The stability of these interactions was assessed through 200-ns molecular dynamics (MD) simulations, revealing that the majority of compounds exhibited stable interactions, while a few displayed fluctuations in their trajectories. Most compounds adhered to favorable pharmacokinetic properties. Comprehensive MD simulations and free energy calculations identified three top candidates (90 729, 37 623, and 134 546) with strong potential as potent inhibitors of AKC. Additional in vitro and in vivo studies are required to confirm the therapeutic potential of these candidates.
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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