Deciphering the intrinsic dynamics of unphosphorylated IRAK4 kinase bound to type I and type II inhibitors

  • Vijayakumar Gosu
  • , Santanu Sasidharan
  • , Prakash Saudagar
  • , Kamalakannan Radhakrishnan
  • , Hak Kyo Lee*
  • , Donghyun Shin*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Interleukin-1 receptor-associated kinase 4 (IRAK4) is a vital protein involved in Toll-like and interleukin-1 receptor signal transduction. Several studies have reported regarding the crystal structure, dynamic properties, and interactions with inhibitors of the phosphorylated form of IRAK4. However, no dynamic properties of inhibitor-bound unphosphorylated IRAK4 have been previously studied. Herein, we report the intrinsic dynamics of unphosphorylated IRAK4 (uIRAK4) bound to type I and type II inhibitors. The corresponding apo and inhibitor-bound forms of uIRAK4 were subjected to three independent simulations of 500 ns (total 1.5 μs) each, and their trajectories were analyzed. The results indicated that all three systems were relatively stable, except for the type II inhibitor-bound form of uIRAK4, which exhibited less compact folding and higher solvent surface area. The intra-hydrogen bonds corroborated the structural deformation of the type-II inhibitor-bound complex, which could be attributed to the long molecular structure of the type-II inhibitor. Moreover, the type II inhibitor bound to uIRAK4 showed higher binding free energy with uIRAK4 than the type I inhibitor. The free energy landscape analysis showed a reorientation of Phe330 side chain from the DFG motif at different metastable states for all the systems. The intra-residual distance between residues Lys213, Glu233, Tyr262, and Phe330 suggests a functional interplay when the inhibitors are bound to uIRAK4, thereby hinting at their crucial role in the inhibition mechanism. Ultimately, the intrinsic dynamics study observed between type I/II inhibitor-bound forms of uIRAK4 may assist in better understanding the enzyme and designing therapeutic compounds.

Original languageEnglish
Article number106978
JournalComputers in Biology and Medicine
Volume160
DOIs
StatePublished - 2023.06

Keywords

  • DFG motif
  • Interleukin-1 receptor-associated kinase 4
  • Molecular dynamics simulation
  • Phosphorylation
  • Type I/II inhibitor

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Medicine
  • Data Science

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