Structural States of RORγt: X-ray Elucidation of Molecular Mechanisms and Binding Interactions for Natural and

Joerg Kallen1, Aude Izaac1, Celine Be1

  • 1CBT, Novartis Institutes for BioMedical Research, Novartis Campus, 4002, Basel, Switzerland.

Chemmedchem
|June 8, 2017
PubMed

Insights

Retinoic acid receptor-related orphan receptor-γ (RORγt) inverse agonists are crucial for autoimmune disease treatment. New X-ray structures reveal distinct binding mechanisms, aiding the design of potent RORγt modulators.

Area of Science:

  • Structural biology
  • Molecular pharmacology
  • Immunology

Background:

  • T-cell-specific retinoic acid receptor-related orphan receptor-γ (RORγt) drives pro-inflammatory Th17 cytokines implicated in autoimmune diseases.
  • Developing potent RORγt inverse agonists with favorable physicochemical properties remains a challenge.
  • Previous work identified imidazopyridine-based inverse agonists with good selectivity and properties.

Purpose of the Study:

  • To elucidate the molecular mechanisms of RORγt agonism, antagonism, and inverse agonism.
  • To analyze binding modes of diverse RORγt modulators using X-ray crystallography.
  • To propose new mechanisms for RORγt inverse agonism and guide future drug design.

Main Methods:

  • X-ray crystallography of eight new RORγt-ligand complexes.
  • Analysis of binding modes for natural and synthetic compounds, including patent literature examples.
  • Comparative analysis of ligand interactions within specific RORγt binding pockets.

Main Results:

  • Detailed X-ray structures reveal diverse binding modes for RORγt modulators.
  • New molecular mechanisms for RORγt agonism were identified.
  • Inverse agonists were classified into steric clash and non-steric clash groups, with a novel 'water trapping' mechanism proposed for the latter.

Conclusions:

  • Structural insights into RORγt binding mechanisms are crucial for drug discovery.
  • Understanding RORγt modulator interactions facilitates the design of improved therapeutics for autoimmune conditions.
  • The proposed classification and mechanisms provide a framework for optimizing RORγt inverse agonists.

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