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Molecular Entanglement and Electrospinnability of Biopolymers
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Error-Speed Correlations in Biopolymer Synthesis.

Davide Chiuchiú1, Yuhai Tu2, Simone Pigolotti1

  • 1Biological Complexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan.

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|August 7, 2019
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Summary
This summary is machine-generated.

Enzyme-driven biopolymer synthesis involves stochastic fluctuations. Faster synthesis speeds correlate with specific error rates, revealing enzyme error-correction mechanisms through measurable correlations.

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Area of Science:

  • Biophysics
  • Molecular Biology
  • Biochemistry

Background:

  • Enzymatic synthesis of biopolymers like DNA, RNA, and proteins are fundamental biophysical processes.
  • Enzyme performance is typically assessed by average error rates and synthesis speed.
  • Thermal fluctuations introduce inherent stochasticity to single-molecule biopolymer synthesis.

Purpose of the Study:

  • To investigate the relationship between fluctuations in error rates and synthesis speed during biopolymer synthesis.
  • To determine if error and speed fluctuations are correlated and what these correlations imply about enzyme mechanisms.

Main Methods:

  • Theoretical study of stochastic processes in enzyme-catalyzed biopolymer synthesis.
  • Analysis of error and speed fluctuations at the single-molecule level.
  • Modeling of enzyme error-correction mechanisms, including forward reaction rate discrimination and monomer rejection rate discrimination.

Main Results:

  • Error rates and synthesis speeds in biopolymer synthesis are generally correlated due to thermal fluctuations.
  • Faster synthesis speeds can correlate with either improved or reduced error rates, depending on the enzyme's mechanism.
  • Specific error-correction strategies, such as discrimination in forward reaction rates versus monomer rejection rates, lead to distinct error-speed correlations.

Conclusions:

  • The correlation between synthesis speed and error fluctuations provides insights into enzyme error-correction mechanisms.
  • Measuring error-speed correlations offers an experimentally accessible method to differentiate between various enzyme error-correction strategies.
  • Understanding these stochastic dynamics is crucial for comprehending the fidelity and efficiency of biological polymer synthesis.