Author

Z.-J. Tan

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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Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Y.-L. Tan· 3 shared S. Yu· 2 shared X. Wang· 2 shared B. Zhang· 1 shared C. Zhang· 1 shared C.-J. Feng· 1 shared F.-J. Tian· 1 shared H. Fu· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBiophysics

Y.-L. Tan

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Author profile →

4 papers

Recent·Most cited

FebRNA: an automated fragment-ensemble-based model for building RNA 3D structures

L. Zhou, X. Wang, S. Yu, Y.-L. Tan, Z.-J. Tan

FebRNA predicts RNA 3D structures using a fragment-ensemble-based approach, achieving reliable results for complex RNA topologies.

bioRxiv · Apr 25, 2022Biophysics

cgRNASP: coarse-grained statistical potentials with residue separation for RNA structure evaluation

Y.-L. Tan, X. Wang, S. Yu, B. Zhang, Z.-J. Tan

The paper introduces cgRNASP, a series of coarse-grained statistical potentials for RNA 3D structure evaluation, showing comparable or better performance than all-atom methods with higher efficiency.

bioRxiv · Mar 13, 2022Biophysics

Observation of reversal in twist-stretch coupling of RNA suggests a unified mechanism for the opposite couplings of DNA and RNA

X.-W. Qiang, C. Zhang, H.-L. Dong, F.-J. Tian, H. Fu, Y.-J. Yang, L. Dai, X.-H. Zhang, Z.-J. Tan

This study observes that RNA's twist-stretch coupling reverses from positive to negative with multivalent cations, proposing a unified mechanism for DNA and RNA coupling based on deformation pathways.

bioRxiv · Oct 15, 2021 · PreprintBiophysics

Modeling structure, stability and flexibility of double-stranded RNAs in salt solutions

L. Jin, Y.-Z. Shi, C.-J. Feng, Y.-L. Tan, Z.-J. Tan

This study develops a coarse-grained model to predict 3D structure, stability, and flexibility of dsRNAs in salt solutions, showing improved accuracy with electrostatic potential inclusion.

bioRxiv · Jun 5, 2018Biophysics