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The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
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The chemical and physical properties of plasma membranes cause them to be selectively permeable. Since plasma membranes have both hydrophobic and hydrophilic regions, substances need to be able to transverse both regions. The hydrophobic area of membranes repels substances such as charged ions. Therefore, such substances need special membrane proteins to cross a membrane successfully. In  facilitated transport, also known as facilitated diffusion, molecules and ions travel across a...
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Quantifying the two-state facilitated diffusion model of protein-DNA interactions.

Itai Leven1, Yaakov Levy1

  • 1Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

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|May 3, 2019
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Summary

DNA-binding proteins face a tradeoff between searching DNA and recognizing binding sites. Optimizing frustration balances these processes for faster overall target acquisition, influencing protein-DNA interactions.

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Area of Science:

  • Biophysics
  • Molecular Biology
  • Computational Biology

Background:

  • DNA-binding proteins (DBPs) utilize facilitated diffusion to locate specific DNA sequences.
  • The process involves distinct search and recognition binding modes.
  • Understanding the kinetics of these modes is crucial for DBP function.

Purpose of the Study:

  • To extend the facilitated diffusion model to incorporate the conflict between DBP search and recognition modes.
  • To investigate the tradeoff between DNA search speed and target site recognition.
  • To explore the role of frustration in optimizing DBP binding kinetics.

Main Methods:

  • Modification of the facilitated diffusion model to include a frustration term.
  • Analysis of the energetic landscape of protein-DNA interactions.
  • Theoretical modeling of search and recognition dynamics.

Main Results:

  • A negative coupling exists between the 1D sliding search speed and target site recognition probability.
  • A tradeoff is identified between optimizing search and recognition timescales.
  • Optimizing frustration balances these kinetic properties, leading to faster total target acquisition.
  • The extended model accurately predicts experimental observations on DBP search and recognition speeds.

Conclusions:

  • Frustration is a key factor in balancing DBP search and recognition kinetics.
  • The modified facilitated diffusion model provides a quantitative framework for understanding DBP-DNA interactions.
  • Molecular properties, such as point mutations, can modulate frustration and thus protein-DNA affinity.