Author

Joshua Ahdout

University of California San DiegoORCID 0000-0003-0812-019XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Gene Wei-Ming YeoiD· 2 shared Katherine L. RothameliD· 2 shared Kristopher W. BrannaniD· 2 shared Mayuresh Mujumdar· 2 shared Wenhao JiniD· 2 shared Ahmed A. Abdou· 1 shared Assael A. MadrigaliD· 1 shared Benjamin J. BokoriD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersSystems Biology

Gene Wei-Ming YeoORCID

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2 papers

Recent·Most cited

Systems BiologyMolecular CellPeer-reviewedSep 19, 2024

Large-scale map of RNA binding protein interactomes across the mRNA life-cycle

Lena Annika Street, Katherine L. Rothamel, Kristopher W. Brannan…·Gene Wei-Ming Yeo

The paper constructs an RNA-aware RBP-centric PPI map across the mRNA life-cycle, revealing 20,359 novel interactions and showing 73% are RNA-dependent.

53 citationstop 1%

humanproteomics

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BioinformaticsMolecular CellPeer-reviewedJul 1, 2023

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence

Wenhao Jin, Kristopher W. Brannan, Katannya Kapeli…·Gene Wei-Ming Yeo

HydRA predicts RNA-binding capacity using protein interaction and sequence data, identifying novel RNA-binding domains with high specificity and sensitivity.

52 citationstop 3%

humanprotein sequence

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