Digital molecular kinetics enabled by large-scale nanopore arrays for multidimensional biophysical profiling

While widely used, traditional technologies like surface plasmon resonance (SPR) are limited by narrow temporal windows (transient capture and baseline drift), dynamic heterogeneity, and poor physiological temperature performance. Meanwhile, early nanopore approaches are often constrained by limited throughput and heavy reliance on customized modification schemes. Here, we present a digital molecular kinetics (DMK) platform based on large-scale nanopore arrays. By introducing a universal coupling and probe reporting system, DMK achieves broad versatility across diverse molecular pairs, including proteins, peptides, small molecules, DNA, and polymerase complexes. In addition to accurately recovering classical SPR association and dissociation rate constants, by harnessing massive single-molecule event analysis, DMK breaks traditional performance boundaries: it facilitates robust thermodynamic-kinetic profiling across a wide temperature range, resolves distinct conformations in heterogeneous samples, enables ultra-low dissociation rate quantification via maximum likelihood estimation, and reveals energy wells via voltage gradients for binding analysis against environmental perturbations. Furthermore, DMK enables the capture of rapid binding events missed by SPR, offering a new perspective on molecular interaction complexity. This platform offers an effective alternative and upgrade to SPR, opening a digital paradigm for complex molecular analysis and drug discovery.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-29
DOI
https://doi.org/10.64898/2026.10.28.762428
Primary Topic
Nanopore and Nanochannel Transport Studies
Type
preprint
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preprint

Digital molecular kinetics enabled by large-scale nanopore arrays for multidimensional biophysical profiling

Kaiju Li, Mengdan Wu, 程雅文, Yaozhong Zou et al.
2 links
bioRxiv (Cold Spring Harbor Laboratory)
Nanopore and Nanochannel Transport Studies
preprint

Digital molecular kinetics enabled by large-scale nanopore arrays for multidimensional biophysical profiling

Kaiju Li, Mengdan Wu, 程雅文, Yaozhong Zou, Tingting Zheng, Liping Zhong, Yan Wang, Shuiying Long
preprint en

Abstract

While widely used, traditional technologies like surface plasmon resonance (SPR) are limited by narrow temporal windows (transient capture and baseline drift), dynamic heterogeneity, and poor physiological temperature performance. Meanwhile, early nanopore approaches are often constrained by limited throughput and heavy reliance on customized modification schemes. Here, we present a digital molecular kinetics (DMK) platform based on large-scale nanopore arrays. By introducing a universal coupling and probe reporting system, DMK achieves broad versatility across diverse molecular pairs, including proteins, peptides, small molecules, DNA, and polymerase complexes. In addition to accurately recovering classical SPR association and dissociation rate constants, by harnessing massive single-molecule event analysis, DMK breaks traditional performance boundaries: it facilitates robust thermodynamic-kinetic profiling across a wide temperature range, resolves distinct conformations in heterogeneous samples, enables ultra-low dissociation rate quantification via maximum likelihood estimation, and reveals energy wells via voltage gradients for binding analysis against environmental perturbations. Furthermore, DMK enables the capture of rapid binding events missed by SPR, offering a new perspective on molecular interaction complexity. This platform offers an effective alternative and upgrade to SPR, opening a digital paradigm for complex molecular analysis and drug discovery.

bioRxiv (Cold Spring Harbor Laboratory)
Sichuan University (CN), West China Hospital of Sichuan University (CN), State Key Laboratory of Biotherapy (CN)
Nanopore and Nanochannel Transport Studies
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Digital molecular kinetics enabled by large-scale nanopore arrays for multidimensional biophysical profiling — Kaiju Li, Mengdan Wu, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS