Author

Catherine H. Schein

The University of Texas Medical Branch at GalvestonORCID 0000-0002-8290-2109Unclaimed 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 sequence· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Werner A. BrauniD· 2 shared Benjamin A. Braun· 1 shared Chengyuan Yang· 1 shared Pora KimiD· 1 shared Surendra S. Negi· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Werner A. BraunORCID

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2 papers

Recent·Most cited

AllergenAI: a deep learning model predicting allergenicity based on protein sequence

Chengyuan Yang, Surendra S. Negi, Catherine H. Schein, Werner A. Braun, Pora Kim

AllergenAI predicts allergenicity using protein sequences, identifies a P-A motif in vicilins, and demonstrates potential for incorporating 3D structural data.

bioRxiv · Jun 22, 2024 · PreprintBioinformatics

D-graph clusters flaviviruses and β-coronaviruses according to their hosts, disease type and human cell receptors

Benjamin A. Braun, Catherine H. Schein, Werner A. Braun

The paper introduces DGraph, a tool that clusters viral protein sequences based on physico-chemical properties, revealing host, disease, and receptor relationships.

Bioinformatics and Biology Insights · Jan 1, 2021Peer-reviewedBioinformatics