Author

Jared M. Sagendorf

University of Southern CaliforniaORCID 0009-0009-1195-1753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:deep learning· 1 Organism:Drosophila· 1 Approach:graph neural network· 1

Frequent Co-Authors

Raktim MitraiD· 2 shared Remo RohsiD· 2 shared Ari S CoheniD· 1 shared Cameron J. GlasscockiD· 1 shared Jiawei HuangiD· 1 shared Jinsen LiiD· 1 shared Tsu-Pei ChiuiD· 1 shared Xiaojiang S. CheniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersBioinformatics

Raktim MitraORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedAug 5, 2024

DeepPBS: Geometric deep learning for interpretable prediction of protein-DNA binding specificity

Raktim Mitra, Jinsen Li, Jared M. Sagendorf…·Remo Rohs

DeepPBS predicts protein-DNA binding specificity using geometric deep learning, showing alignment with experimental mutagenesis data and enabling analysis of molecular dynamics simulations.

75 citationstop 1%

Drosophilaprotein structure

𝕏 PostBluesky

BioinformaticsBiophysical ReviewsPeer-reviewedJun 1, 2024

PNAbind: Structure-based prediction of protein-nucleic acid binding using graph neural networks

Jared M. Sagendorf, Raktim Mitra, Jiawei Huang…·Remo Rohs

PNAbind predicts protein-nucleic acid binding using graph neural networks, achieving high accuracy in binding site prediction and discrimination between DNA and RNA specificity.

25 citations

protein structuregraph neural network

𝕏 PostBluesky