Author

Xiaohua Zhang

Lawrence Livermore National LaboratoryORCID 0000-0003-0102-6352Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiaohua Zhang1 paper · Capital Medical University

Biology Disciplines

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam T ZemlaiD· 1 shared Aidan EpsteiniD· 1 shared Brian J. BennioniD· 1 shared Daniel A. KirshneriD· 1 shared Derek JonesiD· 1 shared Felice C. LightstoneiD· 1 shared Garrett A. StevensoniD· 1 shared Hyojin KimiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Adam T ZemlaORCID

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1 paper

Recent·Most cited

Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-based Featurization Method

Garrett A. Stevenson, Daniel A. Kirshner, Brian J. Bennion, Yue Yang, Xiaohua Zhang, Adam T Zemla, Marisa W. Torres, Aidan Epstein, Derek Jones, Hyojin Kim, William F. Bennett, Sergio Wong, Jonathan Allen, Felice C. Lightstone

This paper introduces a ligand-based featurization method to map human protein pockets and identify potential drug interactions by clustering proteins and evaluating compound associations.

Journal of Chemical Information and Modeling · Oct 17, 2023Peer-reviewedSynthetic Biology