Author

P. C. DeWeirdt

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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Bioengineering· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

J. G. Doench· 2 shared A. Patil· 1 shared A. V. McGee· 1 shared C. B. Wilen· 1 shared C. Hulme· 1 shared C. K. Collings· 1 shared C. Kadoch· 1 shared F. Zheng· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

J. G. Doench

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintSep 13, 2022

Kinase-independent activity of DYRK1A promotes viral entry of highly pathogenic human coronaviruses

M. S. Strine, W. L. Cai, J. Wei…·C. B. Wilen

This study shows DYRK1A promotes viral entry of SARS-CoV, SARS-CoV-2, and MERS-CoV by regulating ACE2 and DPP4 transcription without its kinase activity.

DOI 10.1101/2022.09.13.507833

humanmouse

𝕏 PostBluesky

BioengineeringbioRxivJun 27, 2022

Accounting for small variations in the tracrRNA sequence improves sgRNA activity predictions for CRISPR screening

P. C. DeWeirdt, A. V. McGee, F. Zheng…·J. G. Doench

This study improves sgRNA activity predictions by incorporating tracrRNA sequence variations, showing better performance than existing models on a new dataset.

DOI 10.1038/s41467-022-33024-2

CRISPR screendeep learning

𝕏 PostBluesky