Author

D. Feldman

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 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:protein design· 1 Assay:protein structure· 1

Frequent Co-Authors

A. A. Vorobieva· 1 shared A. Boire· 1 shared A. Cercek· 1 shared A. K. Bera· 1 shared A. Kang· 1 shared A. L. Ho· 1 shared A. Luthra· 1 shared A. N. Shoushtari· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

A. A. Vorobieva

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

De novo design of diverse small molecule binders and sensors using Shape Complementary Pseudocycles

L. An, M. Said, L. Tran, S. Majumder, I. Goreshnik, G. R. Lee, D. Juergens, J. Dauparas, I. Anishchenko, B. Coventry, A. K. Bera, A. Kang, P. M. Levine, V. Alvarez, A. Pillai, , D. Baker

The paper designs nanomolar binders for diverse small molecules using a pseudocycle-based shape complementarity method, enabling direct conversion into sensing systems.

bioRxiv · Dec 20, 2023 · PreprintBiochemistry

The phenotypic landscape of essential human genes

L. Funk, K.-C. Su, D. Feldman, A. Singh, B. Moodie, P. Blainey, I. M. Cheeseman

The paper uses CRISPR screening and microscopy to analyze phenotypes of essential human genes, identifying co-functional genes and functional contributions to chromosome segregation.

bioRxiv · Nov 28, 2021Cell Biology

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

B. Nguyen, C. Fong, A. Luthra, S. A. Smith, R. G. DiNatale, S. Nandakumar, H. Walch, W. K. Chatila, R. Madupuri, R. Kundra, C. M. Bielski, B. Mastrogiacomo, A. Boire, S. Chandarlapaty, K. Ganesh, , Varghes

The paper analyzes genomic data from 25,000 patients to identify associations between genomic alterations and metastatic patterns across 50 tumor types, finding chromosomal instability correlates with metastatic burden in some cancers.

bioRxiv · Jun 28, 2021Cancer Biology