Abstract
The cyclic GMP-AMP synthase (cGAS) - stimulator of interferon genes (STING) pathway is crucial in the innate immune response, particularly in cancer immunotherapy. Despite promising preclinical results, 5,6-dimethylxanthenone-4-acetic acid (DMXAA) showed limited efficacy in human clinical trials due to species-specific differences in STING activation. This study investigates these differences by analyzing the binding dynamics and affinities of various STING-ligand complexes using molecular dynamics (MD) simulations and binding free energy calculations. We confirmed that specific point mutations, notably G230I and S162A/Q266I, significantly improve DMXAA’s binding affinity to human STING (hSTING), replicating the behavior observed in mouse STING (mSTING). Explicit solvent MD simulations revealed the essential role of water molecules in the binding site. Bridge water molecules, forming hydrogen bonds between the ligand and the protein, were significant in stabilizing the cyclic GMP-AMP (cGAMP) system, influencing local dielectric constants. Additionally, for DMXAA systems, we found that the mutations lowered the interaction energies required for ligand binding by reducing the number of water molecules and localizing them to specific locations within the binding site. These findings deepen our understanding of STING-DMXAA interactions and highlight potential pharmacological modifications required to enhance STING-targeted therapies. Integrating structural biology, computational simulations, and thermodynamic analyses offers a robust framework for advancing STING-based therapeutic development.
Supplementary materials
Title
SUPPORTING INFORMATION: Roles of Water Molecules in STING Activation: A Computational Perspective
Description
Tables
- Detailed information on each of six consecutive
- Listing of STING MD Simulations Performed
Figures
- S1. Pairwise Sequence Alignment of Mouse and Human STING Proteins
- S2 Root-mean-squared deviations of the STING protein
- S3 - Root-mean-squared deviations of the ligand
- S4 Average root-mean-squared fluctuations
- S5. Difference Linear Mutual Information Maps
- S6~S11. Binding Energies
- S12 Average Free Energy Contributions Per Residue
- S13. Definition of Axis and radial distance for Spatial Distribution Analysis in the STING System
- S14 . Water spatial distribution maps
- S15 Autocorrelation function of Bridge Water Molecules in five systems.
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