Author

Z. H. Liu

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· 3

Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

J. D. Forman-Kay· 3 shared C. C. Gradinaru· 2 shared J. Li· 2 shared J. M. C. Teixeira· 2 shared O. Zhang· 2 shared T. E. Tsangaris· 2 shared T. Head-Gordon· 2 shared A. A. Shamandy· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBiophysics

J. D. Forman-Kay

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Author profile →

3 papers

Recent·Most cited

Local Disordered Region Sampling (LDRS) for Ensemble Modeling of Proteins with Experimentally Undetermined or Low Confidence Prediction Segments

Z. H. Liu, J. M. C. Teixeira, O. Zhang, T. E. Tsangaris, J. Li, C. C. Gradinaru, T. Head-Gordon, J. D. Forman-Kay

The paper introduces LDRS, a tool for generating conformational ensembles of intrinsically disordered regions in proteins, improving structural modeling of flexible segments.

bioRxiv · Jul 25, 2023Biophysics

Delineating Structural Propensities of the 4E-BP2 Protein via Integrative Modelling and Clustering

T. E. Tsangaris, S. Smyth, G.-N. W. Gomes, Z. H. Liu, M. Milchberg, G. A. Wasney, A. Bah, J. D. Forman-Kay, C. C. Gradinaru

This study uses integrative modelling and clustering to analyze the structural propensities of 4E-BP2 in its non-phosphorylated and five-phosphorylated forms, revealing insights into intrachain interactions and conformational states.

bioRxiv · Jun 20, 2023 · PreprintBiophysics

IDPConformerGenerator: A Flexible Software Suite for Sampling Conformational Space of Disordered Protein States

J. M. C. Teixeira, Z. H. Liu, A. Namini, J. Li, R. M. Vernon, M. Krzeminski, A. A. Shamandy, O. Zhang, M. Haghighatlari, L. Yu, T. Head-Gordon, J. D. Forman-Kay

IDPConformerGenerator generates diverse ensembles of disordered protein states using physical restraints and machine learning, enabling structural analysis of intrinsically disordered proteins.

bioRxiv · May 28, 2022Biophysics