Characterization of interactions and pharmacophore development for DFG-out inhibitors to RET tyrosine kinase

Chunxia Gao1, Morten Grøtli, Leif A Eriksson

  • 1Department of Chemistry and Molecular Biology, University of Gothenburg, 405 30, Göteborg, Sweden.

Insights

This study clarifies the structural basis for DFG-out RET kinase inhibition. Molecular modeling and simulations reveal key interactions, aiding the design of new cancer therapies targeting RET.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Medicinal Chemistry

Background:

  • Rearranged during transfection (RET) tyrosine kinase is a key target in human cancers.
  • DFG-out multi-kinase inhibitors like Abt-348, Birb-796, Motesanib, and Sorafenib show RET inhibitory activity.
  • Understanding structural requirements for DFG-out RET binding is crucial for type II inhibitor design.

Purpose of the Study:

  • To elucidate the structural basis of RET inhibition by DFG-out multi-kinase inhibitors.
  • To investigate the binding modes and interactions of specific RET inhibitors.
  • To provide insights for the rational design of novel DFG-out RET inhibitors.

Main Methods:

  • Homology modeling to determine the RET DFG-out conformation.
  • Molecular docking and dynamics simulations to analyze inhibitor binding modes.
  • Molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) for binding free energy calculations.
  • Per-residue energy decomposition and e-pharmacophore modeling.

Main Results:

  • Predicted binding affinities correlated well with experimental data, explaining activity differences.
  • Detailed analysis of specific interactions between RET and inhibitors.
  • Identification of common and distinct pharmacophore features across different RET-inhibitor complexes.

Conclusions:

  • The study provides a structural understanding of DFG-out RET inhibition.
  • The findings support the rational design of more effective RET-targeted cancer therapies.
  • Computational methods successfully predicted and explained inhibitor efficacy.

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