Author

Hao Tian

Southern Methodist UniversityORCID 0000-0002-0186-9811Unclaimed ORCID profile · follow to get notified of new preprints

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Hao Tian3 papers · Zhujiang Hospital

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Gennady M. VerkhivkeriD· 2 shared Grace Gupta· 2 shared Mohammed AlshahraniiD· 2 shared Nishank RaisinghaniiD· 2 shared Peng TaoiD· 2 shared Sian XiaoiD· 2 shared

Activity by Year

2024-2024 · peak 2/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersBiophysics

Gennady M. VerkhivkerORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintMay 17, 2024

Prediction of Conformational Ensembles and Structural Effects of State-Switching Allosteric Mutants in the Protein Kinases Using Comparative Analysis of AlphaFold2 Adaptations with Sequence Masking and Shallow Subsampling

Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta…·Gennady M. Verkhivker

This study adapts AlphaFold2 to predict conformational ensembles of allosteric ABL kinase mutants, showing that sequence masking and subsampling improve prediction of structural state shifts caused by mutations.

1 citation

protein structuredeep learning

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BiophysicsbioRxivPreprintFeb 15, 2024

Interpretable Atomistic Prediction and Functional Analysis of Conformational Ensembles and Allosteric States in Protein Kinases Using AlphaFold2 Adaptation with Randomized Sequence Scanning and Local Frustration Profiling

Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta…·Gennady M. Verkhivker

This study adapts AlphaFold2 to predict conformational ensembles and allosteric states of ABL kinase using sequence scanning and frustration profiling, revealing limitations in detecting low-populated inactive states.

4 citations

protein structuredeep learning

𝕏 PostBluesky