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Updated: Jan 20, 2026
Ligand Binding Receptors : G-protein Coupled Receptors
Information transmission and processing in G-protein-coupled-receptor complexes
Roger D Jones1, Achille Giacometti2, Alan M Jones3
1Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; Dipartimento di Scienze Molecolari e Nanosistemi, Università Ca' Foscari Venezia, 30123 Venezia, Italy; European Centre for Living Technology (ECLT) Ca' Bottacin, 3911 Dorsoduro Calle Crosera, 30123 Venezia, Italy.
We developed a new thermodynamic model for molecular switches like G-protein-coupled receptors (GPCRs). This framework reveals how chemical flux and energy differences control receptor states, offering insights for drug design.
Area of Science:
- Biophysics
- Molecular Biology
- Systems Biology
Background:
- G-protein-coupled receptors (GPCRs) are crucial for cellular signaling but their switching mechanisms are not fully understood.
- Understanding the physical principles of GPCR state transitions is essential for deciphering cellular information processing.
Purpose of the Study:
- To develop a general theoretical framework for molecular computation in biological systems.
- To apply this framework to G-protein-coupled receptors (GPCRs) to elucidate their switching mechanisms.
- To identify key parameters governing GPCR state transitions using nonequilibrium thermodynamics.
Main Methods:
- Developed a theoretical model based on nonequilibrium thermodynamics.
- Identified governing parameters for receptor-state transitions: chemical flux and free-energy differences.
- Incorporated reciprocal conformation-fit changes between ligand and receptor.
Main Results:
- Predicted three quasistable GPCR configurations: 'on,' 'off,' and intermediate, optimizing information transmission.
- Demonstrated that active states sustain chemical flux, while inactive states do not.
- Showed phosphatase activity determines 'on'/'off' states, while kinase activity maintains flux.
Conclusions:
- The model provides a generalizable framework for understanding biological switches driven by chemical flux.
- Predictions align with experimental data, suggesting new drug design targets for GPCRs.
- The framework extends beyond GPCRs to other biological switching systems.
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