Author

Stephen J. Trudeau

Columbia University Irving Medical CenterORCID 0000-0001-8031-5683Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:database / resource· 2 Assay:protein structure· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Barry H. HonigiD· 3 shared Diana MurrayiD· 3 shared Donald S. Petrey· 2 shared Adina GrunniD· 1 shared Alexander L.E. WangiD· 1 shared Andrea CalifanoiD· 1 shared Andrew EmiliiD· 1 shared Brent R. StockwelliD· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersSystems Biology

Barry H. HonigORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintOct 8, 2023

Compound Mechanism of Action and Polypharmacology can be Elucidated by Large-Scale Perturbational Profile Analysis

Lucas ZhongMing Hu, Tal Hirschhorn, Stanley I. Goldstein…·Andrea Califano

The paper uses large-scale perturbation profiles to analyze drug mechanisms of action and polypharmacology across multiple tumor subtypes and tissues.

1 citation

humanproteomics

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Systems BiologyJournal of Molecular BiologyPeer-reviewedJul 1, 2023

PrePPI: A structure informed proteome-wide database of protein-protein interactions

Donald S. Petrey, Haiqing Zhao, Stephen J. Trudeau…·Barry H. Honig

PrePPI predicts protein-protein interactions on a proteome-wide scale using structural and non-structural clues, providing a database of ~1.3 million human PPIs.

50 citationstop 3%

humanprotein structure

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Systems BiologyProtein SciencePeer-reviewedFeb 13, 2023

PrePCI: A structure- and chemical similarity-informed database of predicted protein compound interactions

Stephen J. Trudeau, Howook Hwang, Deepika Dayal Mathur…·Barry H. Honig

PrePCI predicts protein-compound interactions using structural and chemical similarity, providing a database of over 5 billion interactions with associated probabilities.

16 citations

humanprotein structure

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