Author

Daniel A. Kirshner

Lawrence Livermore National LaboratoryORCID 0000-0002-1293-9969Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Adam T ZemlaiD· 2 shared Felice C. LightstoneiD· 2 shared Jonathan AlleniD· 2 shared Aidan EpsteiniD· 1 shared Brian J. BennioniD· 1 shared Derek JonesiD· 1 shared Garrett A. StevensoniD· 1 shared Hyojin KimiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSynthetic Biology

Adam T ZemlaORCID

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2 papers

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

PDBspheres - a method for finding 3D similarities in local regions in proteins

Adam T Zemla, Jonathan Allen, Daniel A. Kirshner, Felice C. Lightstone

PDBspheres identifies and evaluates structural similarities in protein regions near ligands using a library of over 2 million spheres and the LGA algorithm.

NAR Genomics and Bioinformatics · Oct 6, 2022Peer-reviewedBioinformatics