Author

T. I. Oprea

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 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Assay:proteomics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Cichonska· 1 shared A. Lamb· 1 shared A. O. Stevens· 1 shared A. Schlessinger· 1 shared B. Ravikumar· 1 shared C. I. Wells· 1 shared C. R. Hall· 1 shared D. H. Drewry· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBiochemistry

A. Cichonska

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Author profile →

3 papers

Recent·Most cited

AlphaFold Models Illuminate Half of Dark Human Proteins

J. L. Binder, J. Berendzen, A. O. Stevens, Y. He, J. Wang, N. V. Dokholyan, T. I. Oprea

The paper uses AlphaFold models to predict protein structures for understudied human proteins, finding that 95% of models with confidence scores above 80 are accurate at the fold level.

bioRxiv · Nov 4, 2021 · PreprintPharmacology & Toxicology

Crowdsourced mapping of unexplored target space of kinase inhibitors

A. Cichonska, B. Ravikumar, R. J. Allaway, S. Park, F. Wan, O. Isayev, S. Li, M. J. Mason, A. Lamb, Z.-u.-R. Tanoli, M. Jeon, S. Kim, M. Popova, S. Capuzzi, J. Zeng, , T. Aittokallio

The paper benchmarks predictive models for kinase inhibitor potencies using crowdsourced data and identifies new compound-kinase interactions.

bioRxiv · Dec 31, 2019Biochemistry

Proteomic Analysis Defines Kinase Taxonomies Specific For Subtypes Of Breast Cancer

K. A. Collins, T. J. Stuhlmiller, J. S. Zawistowski, M. P. East, T. T. Pham, C. R. Hall, D. R. Goulet, S. M. Bevill, S. P. Angus, S. H. Velarde, N. Sciaky, T. I. Oprea, L. M. Graves, G. L. Johnson, S. M. Gomez

The paper uses proteomic analysis to define kinase taxonomies specific to breast cancer subtypes, revealing understudied kinases and their functional integration into signaling subnetworks.

bioRxiv · Sep 15, 2017Cancer Biology