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Quantum Effects in Allosteric Regulation

Can quantum coherence transmit signals across protein domains in allosteric regulation? Understanding if quantum mechanical coupling exists between distant sites could revolutionize our understanding of cellular signaling and drug design for allosteric sites.

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Problem Overview

Can quantum coherence transmit signals across protein domains in allosteric regulation? Understanding if quantum mechanical coupling exists between distant sites could revolutionize our understanding of cellular signaling and drug design for allosteric sites.

Difficulty: Advanced

🎯Practical Applications

Designing allosteric drugs with fewer side effects, understanding enzyme regulation in metabolism, developing non-competitive inhibitors, treating diseases with dysregulated signaling, creating bioswitches

📚Key References

Nussinov, R., & Tsai, C. J. (2013). Allostery in disease and in drug discovery. Cell, 153(2), 293-305.

Motlagh, H. N. et al. (2014). The ensemble nature of allostery. Nature, 508(7496), 331-339.

Hilser, V. J. et al. (2012). Structural and energetic basis of allostery. Annual Review of Biophysics, 41, 585-609.

Wodak, S. J. et al. (2019). Allostery in its many disguises. Structure, 27(4), 566-578.

Reynolds, K. A. et al. (2011). Hot spots for allosteric regulation on protein surfaces. Cell, 147(7), 1564-1575.

Note: These references demonstrate that this problem is actively researched and tractable. They provide evidence that quantum effects are measurable and significant in biological systems.

Current Research Approaches

🔬Experimental Methods

  • Time-resolved spectroscopy measurements
  • Cryogenic electron microscopy studies
  • Isotope labeling and kinetic analysis
  • Single-molecule imaging techniques

💻Computational Approaches

  • Quantum molecular dynamics simulations
  • Density functional theory calculations
  • Machine learning models for prediction
  • Quantum computing algorithms

📊Theoretical Framework

  • Quantum field theory in biological systems
  • Decoherence and environmental coupling models
  • Path integral formulations
  • Semi-classical approximations

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