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Updated: Aug 5, 2026

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution
Published on: August 16, 2016
Kinetic control and entropic barrier modulation of protein unfolding during translocation through stepped graphene
Yanlin He1, Junzhou He1, Wei Si1
1Southeast University, Jiangsu Key Laboratory for Design and Manufacturing of Precision Medicine Equipment, Nanjing, CN 210096, China. wei.si@seu.edu.cn.
Abstract:
Controlling protein unfolding and translocation through solid-state nanopores remains a significant challenge due to the steep entropic barriers and the propensity for kinetic jamming. We propose a stepped graphene nanopore architecture designed to decouple the thermodynamic and kinetic requirements of the translocation process. Using all-atom molecular dynamics simulations, we demonstrate that the stepped geometry reconfigures the electrostatic potential, smoothing the field gradient and partitioning the entropic barrier into manageable stages. Our results reveal a non-monotonic dependence of translocation success on the average trans-pore electric field, identifying an intermediate-field kinetic regime around 0.048 V Å-1 in which electrophoretic driving and protein conformational relaxation are better balanced under the present accelerated-sampling conditions. At a lower field of 0.024 V Å-1, translocation is suppressed by entropic rejection as the driving force fails to overcome the entry barrier. Conversely, at an elevated field of 0.096 V Å-1, a critical rate mismatch occurs: the excessive drift velocity outpaces the unfolding rate, triggering lateral buckling and irreversible steric jamming at the final constriction. Compared with a conventional single-step nanopore, the stepped architecture facilitates high-fidelity observation of unfolding intermediate states at moderate driving forces, thereby avoiding excessive driving conditions that promote kinetic jamming and reduce structural resolution. By establishing a kinetic-competition framework based on native-contact loss, residue-passage timing, and productive axial linearization, this study provides a physical framework for designing blockage-resistant nanopore sensors for high-resolution protein structural analysis.
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