Author

Jingqian Liu

University of Illinois Urbana-Champaign

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:statistical model· 1

Frequent Co-Authors

Aleksei AksimentieviD· 2 shared Min CheniD· 2 shared Alvaro Gonzalo HernandeziD· 1 shared Bach PhamiD· 1 shared Chao PaniD· 1 shared Charles M. SchroederiD· 1 shared Crystal Rodriguez· 1 shared Olgica MilenkovićiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBiophysics

Aleksei AksimentievORCID

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Author profile →

2 papers

Recent·Most cited

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

Jingqian Liu, Crystal Rodriguez, Min Chen, Aleksei Aksimentiev

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

Journal of Chemical Theory and Computation · Sep 25, 2026Peer-reviewedBiophysics

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

S. Kasra Tabatabaei, Bach Pham, Chao Pan, Jingqian Liu, Shubham Chandak, Spencer A. Shorkey, Alvaro Gonzalo Hernandez, Aleksei Aksimentiev, Min Chen, Charles M. Schroeder, Olgica Milenković

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

Nano Letters · Feb 25, 2022Peer-reviewedSynthetic Biology