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Updated: Jun 27, 2026

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution
Published on: August 16, 2016
Translocation of a knotted polypeptide through a pore
1Department of Chemistry and Biochemistry and Institute for Theoretical Chemistry, University of Texas at Austin, Austin, Texas 78712, USA.
Deep knots significantly impede polypeptide chain translocation through pores. Complex knots, like the 5(2) type, can increase translocation time by 100-fold, revealing complex energy landscapes.
Area of Science:
- Biophysics
- Computational Biology
- Polymer Physics
Background:
- Understanding protein folding and translocation is crucial for molecular biology.
- Knots in polypeptide chains can affect their stability and function.
- Previous studies have explored translocation of unknotted chains through nanopores.
Purpose of the Study:
- To investigate the impact of deep knots on the time required for polypeptide chain translocation through a narrow pore.
- To quantify the effect of knot complexity on translocation dynamics.
- To elucidate the translocation mechanism for knotted polypeptide chains.
Main Methods:
- Langevin dynamics simulations were employed to model the system.
- A polypeptide chain with a knotted segment between beta-hairpins was designed to prevent knot slippage.
- Mechanical pulling at the chain end was simulated across a range of forces (40-200 pN).
Main Results:
- Translocation time increased with increasing knot complexity.
- The type 5(2) knot, the most complex found in proteins, slowed translocation by approximately two orders of magnitude compared to unknotted chains.
- Knotted chain translocation involved multiple slippage events, unlike unknotted chains.
Conclusions:
- The presence of deep knots significantly hinders polypeptide translocation through narrow pores.
- Knot complexity is a critical factor determining translocation time.
- The translocation mechanism for knotted chains is characterized by a rugged free energy landscape with multiple metastable states.
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