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Theory on the Design Principles of Protein Molecular Oscillatory Machines
Rajamanickam Murugan1, Victor Muñoz2,3
1Department of Biotechnology, Indian Institute of Technology Madras, Chennai 600036, India.
The Journal of Physical Chemistry. B
|July 18, 2025
Summary
Protein oscillators coordinate sequential binding events. A new model shows that alternating between downhill and two-state folding scenarios allows efficient molecular machines without extra energy.
Area of Science:
- Biophysics
- Computational Biology
- Biochemistry
Background:
- Multistep biomolecular processes, like enzymatic reactions and transcription factor DNA binding, require precise coordination of sequential binding events.
- Core protein oscillators that alternate between conformational substates are proposed to manage these sequential bindings.
- The feasibility of achieving efficient binding choreography without external energy input remains an open question.
Purpose of the Study:
- To theoretically investigate the requirements for designing the core oscillator of molecular machines.
- To analyze oscillatory binding patterns arising from protein domain thermal fluctuations in different folding scenarios (two-state vs. downhill).
Main Methods:
- Theoretical modeling of protein domain flexibility and marginal stability.
- Analysis of conformational dynamics, including unfolding pathways (two-state and downhill).
- Investigation of oscillatory binding patterns driven by thermal fluctuations.
Main Results:
- Neither pure downhill nor pure two-state folding protein domains can function as effective core oscillators.
- Downhill folding speeds conformational transitions but results in fleeting binding-competent substate residence times.
- Two-state folding provides ample binding time but leads to slow, decorrelated transitions.
Conclusions:
- Optimal efficiency is achieved when oscillators can rapidly interconvert between downhill and two-state scenarios in response to environmental cues.
- This alternating downhill vs. two-state interconversion mechanism may be a natural design principle for efficient, energy-independent coordination of multistep processes.
- The model aligns with transcription factor genome searches and predicts experimental rates for the pyruvate dehydrogenase complex.
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