Author

Daniel D. Richman

Stanford UniversityORCID 0009-0002-9228-2991Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

Aashish ManglikiD· 1 shared Balázs R. VargaiD· 1 shared Caroline M. WilsoniD· 1 shared Christian B. MacdonaldiD· 1 shared Eve J. FineiD· 1 shared Greg C. PommieriD· 1 shared Harold PimenteliD· 1 shared J. N. K. RaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Aashish ManglikORCID

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2 papers

Recent·Most cited

Distinct activation mechanisms underlie ligand efficacy at a GPCR

Marybeth Howard, Eve J. Fine, Karthik Srinivasan, Daniel D. Richman, Jerome Freudenberg, Zara Y. Weinberg, J. N. K. Rao, Ziyue Zou, Christian B. Macdonald, Patrick Rockefeller Grimes, Balázs R. Varga, James S. Fraser, Mark von Zastrow, Susruta Majumdar, Harold Pimentel, , Willow Coyote‐Maestas

This study uses deep mutational pharmacology to show how different residues in the -opioid receptor determine the efficacy of opioids by shaping distinct activation mechanisms.

bioRxiv · Oct 18, 2026 · PreprintBiophysics

Combinatorial effector targeting (COMET) for transcriptional modulation and locus-specific biochemistry

Caroline M. Wilson, Greg C. Pommier, Daniel D. Richman, Nicholas A. Sambold, Jeffrey A. Hussmann, Jonathan S. Weissman, Luke A. Gilbert

The paper introduces COMET, a high-throughput screening platform for identifying transcriptional modulators by testing combinatorial dCas9-based fusion proteins, and finds over 5800 significant hits that modulate transcription.

bioRxiv · Oct 28, 2024 · PreprintSynthetic Biology