Author

Boshen Wang

The University of Texas Southwestern Medical CenterORCID 0000-0002-1119-7000Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:protein structure· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1

Frequent Co-Authors

J C LiangiD· 4 shared Alan Perez-RathkeiD· 2 shared Bowei YeiD· 2 shared Ali M. FarhatiD· 1 shared Lei YuiD· 1 shared Lin Xu· 1 shared Qiu SuniD· 1 shared Valentina BoevaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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4 shared papersBioinformatics

J C LiangORCID

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4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 11, 2026

G-SPRI: A Structure-Centric Graph Model for Comprehensive Prediction of Cancer Driver Events from Missense Mutations

Boshen Wang, Ali M. Farhat, Bowei Ye…·Lin Xu

G-SPRI predicts cancer driver events from missense mutations by integrating structural and mutation-specific features using a graph model.

DOI 10.64898/2026.05.06.723398

humanprotein structure

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BiophysicsNucleic Acids ResearchPeer-reviewedMay 9, 2024

CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds

Bowei Ye, Wei Tian, Boshen Wang, Jie Liang

CASTpFold extends the CASTp tool to provide accurate and comprehensive protein surface topography analysis using AlphaFold2 structures and functional annotations.

197 citationstop 1%

protein structuredeep learning

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BioinformaticsBriefings in BioinformaticsPeer-reviewedJun 8, 2023

SPRI: Structure-Based Pathogenicity Relationship Identifier for Predicting Effects of Single Missense Variants and Discovery of Higher-Order Cancer Susceptibility Clusters of Mutations

Boshen Wang, Xue Lei, Wei Tian…·Jie Liang

SPRI predicts the pathogenicity of missense variants and identifies spatially organized mutational clusters linked to cancer and Mendelian diseases.

11 citations

humanprotein structure

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BioinformaticsGenome biologyPeer-reviewedJan 16, 2020

CHROMATIX: computing the functional landscape of many-body chromatin interactions in transcriptionally active loci from deconvolved single-cells

Alan Perez-Rathke, Qiu Sun, Boshen Wang…·Jie Liang

CHROMATIX reconstructs many-body chromatin interactions from Hi-C data and identifies functional features in transcriptionally active loci.

40 citations

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