Min Chen

Improving All-Atom Molecular Dynamics Models for Quantitative Prediction of Nanopore Blockade Current

This study improves molecular dynamics models to better predict nanopore blockade currents from single-stranded DNA by refining force field parameters.

Single-Molecule Nanopore Profiling of p53-TAD Conformational Dynamics, Interactions, and Inhibition

This study uses a nanopore platform to analyze the conformational dynamics and interactions of p53-TAD, showing how a mutation and a drug affect its structure and binding.

Subtyping active-site inhibitor binding mode to Abl kinase using super-resolution nanopore tweezers.

This paper introduces a nanopore tweezers platform to subtype Abl kinase inhibitors by resolving ionic current signatures, achieving high classification accuracy without structural determination.

Coupled Binding and Folding of NS2B/NS3 Protease and Linker Effects Revealed by Topology-based Modeling

This paper uses topology-based modeling to study the binding and folding of WNV NS2B/NS3 protease and shows how the G4SG4 linker affects its stability and folding pathways.

Tuning single-molecule ClyA nanopore tweezers for real-time tracking ofthe conformational dynamics of West Nile viral NS2B/NS3 protease

This study develops a nanopore tweezers platform to track conformational dynamics of West Nile viral NS2B/NS3 protease in real-time and reveals its conformational energy landscape.

Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing

This paper introduces an extended 11-letter DNA alphabet for data storage, using nanopore readout and neural networks to improve accuracy and density.