Author

D. Bowen

Primary ORCID profile (0000-0001-6427-9651 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

D. BoweniD1 paper · Cedars-Sinai Medical Center

Biology Disciplines

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Cancer Biology· 1 Immunology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Braun· 1 shared A. Drake· 1 shared A. F. Sharland· 1 shared A. Kannan· 1 shared A. Sharma· 1 shared A. Tzou· 1 shared A. W. Purcell· 1 shared B. Li· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperImmunology

A. Braun

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Safety assessment of insecticidal proteins: A case study utilizing His-tagged protein to determine the safety of Mpp75Aa1.1, a new ETX_MTX2 protein that controls western corn rootworm

C. Wang, G. J. Bean, C. J. Chen, C. R. Kessenich, J. Peng, N. R. Visconti, J. S. Milligan, R. G. Moore, J. Tan, T. c. Edrington, B. Li, K. S. Giddings, D. Bowen, J. Luo, T. Ciche, W. J. Moar

This paper assesses the safety of the insecticidal protein Mpp75Aa1.1 by evaluating its allergenicity, toxicity, and degradation properties using purified and His-tagged variants.

bioRxiv · Mar 28, 2022 · PreprintPharmacology & Toxicology

The self-peptide repertoire plays a critical role in transplant tolerance induction

E. T. Son, P. Faridi, M. Paul-Heng, M. Leong, K. English, S. H. Ramarathinam, A. Braun, N. Dudek, I. E. Alexander, L. Lisowski, P. Bertolino, D. Bowen, A. W. Purcell, N. Mifsud, A. F. Sharland

This study identifies immunogenic MHC I peptides involved in transplant tolerance by combining genetic engineering, immunopeptidomics, and T cell analysis.

bioRxiv · Nov 9, 2020Immunology

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

N. Wan, D. Weinberg, T.-y. Liu, K. Niehaus, D. Delubac, A. Kannan, B. White, E. Ariazi, M. Bailey, M. Bertin, N. Boley, D. Bowen, J. Cregg, A. Drake, R. Ennis, , I. S. Haque

This paper uses machine learning on whole-genome sequencing of plasma cell-free DNA to detect early-stage colorectal cancer with high sensitivity and specificity.

bioRxiv · Nov 24, 2018Cancer Biology