Author

Lu Paris

University of California, San Francisco

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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Biochemistry· 1 Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:deep learning· 2 Approach:experimental assay· 1 Assay:imaging· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian K. ShoichetiD· 3 shared Isabella GlenniD· 3 shared Aimee W. KaoiD· 1 shared Alex D. WhiteiD· 1 shared Alexandros MakriyannisiD· 1 shared Charles L. BrooksiD· 1 shared Cheng-Guo WuiD· 1 shared Christos Iliopoulos‐TsoutsouvasiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersBiochemistry

Brian K. ShoichetORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Library docking for Cannabinoid-2 Receptor ligands

Moira M. Rachman, Christos Iliopoulos‐Tsoutsouvas, Michael Dominic Sacco, Xinyu Xu, Cheng-Guo Wu, Emma Santos, Isabella Glenn, Lu Paris, Michelle K. Cahill, Suthakar Ganapathy, Tia A. Tummino, Yurii S. Moroz, Dmytro S. Radchenko, Meri Okorie, Vivianne L. Tawfik, , Brian K. Shoichet

This study uses library docking to identify subtype-selective CB2 receptor ligands, finding improved hit rates and affinities with larger libraries and structure-based optimization.

Journal of Medicinal Chemistry · Jul 3, 2026Peer-reviewedBiochemistry

Drug-induced phospholipidosis as an artifact in antiviral drug repurposing

Isabella Glenn, Lu Paris, Alex D. White, Virginia G. Garda, Mauricio Montaño, Mir Mubashir Khalid, Aimee W. Kao, Mélanie Ott, Brian K. Shoichet

The paper identifies phospholipidosis as a common artifact in antiviral drug repurposing and introduces a microplate-based assay to detect it, finding that 65% of tested drugs induce it.

bioRxiv · Nov 20, 2025 · PreprintCell Biology

Identifying Artifacts from Large Library Docking

Yujin Wu, Fangyu Liu, Isabella Glenn, Karla Fonseca-Valencia, Lu Paris, Yuyue Xiong, Steven V. Jerome, Charles L. Brooks, Brian K. Shoichet

The paper identifies docking artifacts in large library screens by rescoring top-ranked molecules with orthogonal methods, finding that 39 predicted cheaters failed experimental testing while 57% of plausible actives showed inhibition.

Journal of Medicinal Chemistry · Sep 10, 2024Peer-reviewedBiophysics