Related Experiment Video
Updated: Jan 1, 2026

06:29
Real-Time Monitoring of Aurora kinase A Activation using Conformational FRET Biosensors in Live Cells
Published on: July 30, 2020
3.4K
Structural Characterization of the Aurora Kinase B "DFG-flip" Using Metadynamics
Naga Rajiv Lakkaniga1, Meenakshisundaram Balasubramaniam2, Shuxing Zhang3
1Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.
The AAPS Journal
|December 20, 2019
Summary
We simulated the inactive DFG "out" conformation of Aurora kinase B (AKB) using molecular dynamics. This reveals new structural insights for designing more effective AKB inhibitors for cancer therapy.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Chemistry
Background:
- Aurora kinase B (AKB) is a key mitotic regulator overexpressed in cancers.
- Current AKB inhibitors target the active DFG "in" conformation.
- Type II inhibitors offer improved selectivity and potency but require the inactive DFG "out" conformation, which is uncharacterized for AKB.
Purpose of the Study:
- To computationally determine the inactive DFG "out" conformation of Aurora kinase B (AKB).
- To identify key interactions stabilizing active and inactive AKB states.
- To explore novel inhibitor design strategies targeting AKB conformations.
Main Methods:
- Atomistic molecular dynamics (MD) simulations, specifically using the metadynamics (MTD) approach.
- Simulation of the DFG "out" conformation from the experimentally determined DFG "in" state.
- Analysis of structural changes and stabilizing interactions during the DFG-flip.
Main Results:
- Successfully simulated the DFG "out" conformation of AKB, providing structural insights into its inactive state.
- Identified critical interactions responsible for stabilizing both active (DFG "in") and inactive (DFG "out") conformations.
- Discovered a unique "DFG up" transition state, a potential target for novel inhibitors.
Conclusions:
- Metadynamics simulations are effective for predicting macromolecular conformational changes at lower computational cost.
- Structural understanding of AKB's inactive and transition states is crucial for next-generation inhibitor design.
- This study provides a foundation for developing more selective and potent AKB-targeted cancer therapies.

