Investigation of 3D structural specificities between neurotransmitters and receptors using the TSR-based...

Area of Science:

• Computational chemistry
• Neuroscience
• Drug discovery

Background:

• Neurons communicate via neurotransmitter-receptor interactions.
• Opioid drug design faces challenges due to limited mechanistic insight into receptor selectivity and activation.

Purpose of the Study:

• To present an enhanced Triangular Spatial Relationship (TSR)-based method for characterizing ligand-induced conformational changes.
• To develop a novel algorithm for extracting 3D structural features of neurotransmitters and opioids.

Main Methods:

• Simultaneously applied two feature-engineering strategies to elucidate structure-function relationships.
• Quantitatively analyzed local receptor environments' influence on glutamate and aspartate structural variations.
• Integrated the TSR-based method with Density Functional Theory and Quantum Mechanics/Molecular Mechanics optimization.

Main Results:

• Identified complementary structural features between fentanyl and its biosensor, revealing binding specificity.
• Demonstrated distinct structural differences in tyrosine residues within and outside neurotransmitter binding sites.
• Showed superior performance of the TSR-based method compared to RMSD, USR, ROSHAMBO, and Phase approaches.

Conclusions:

• Established an advanced computational framework for representing and quantifying neurotransmitter structures.
• The TSR-based approach offers a powerful tool for analyzing structural specificity in ligand-receptor interactions.
• Provides a foundation for deeper mechanistic insight and more effective rational drug design.