Author

Yibei Jiang

University of Southern CaliforniaORCID 0009-0002-9785-3343Unclaimed 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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Approach:deep learning· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Jinsen LiiD· 2 shared Remo RohsiD· 2 shared Ari S CoheniD· 1 shared Cameron J. GlasscockiD· 1 shared Jared M. SagendorfiD· 1 shared Jesse A. WelleriD· 1 shared Raktim MitraiD· 1 shared Tsu-Pei ChiuiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Jinsen LiORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJul 9, 2026

Circumventing the synthesizability problem in generative molecular design

Jesse A. Weller, Jinsen Li, Yibei Jiang, Remo Rohs

This paper introduces a model-guided virtual screening pipeline to improve synthesizability in generative drug design by combining SBDD models with chemical similarity search.

DOI 10.1021/acs.jcim.6c00998

machine learning (classical)drug response / drug discovery

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