Author

Surendra S. Negi

The University of Texas Medical Branch at Galveston

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Catherine H. ScheiniD· 1 shared Chengyuan Yang· 1 shared Gary SuniD· 1 shared Haiqing ZhaoiD· 1 shared Hugues Fausther‐Bovendo· 1 shared Pora KimiD· 1 shared Werner A. BrauniD· 1 shared Zhiyuan SongiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Catherine H. ScheinORCID

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2 papers

Recent·Most cited

GraPPI: A Self-Supervised Graph Encoder for Transferable Protein--Protein Interaction Modeling

Zhiyuan Song, Ziyu Shi, Gary Sun, Surendra S. Negi, Hugues Fausther‐Bovendo, Haiqing Zhao

GraPPI develops a self-supervised graph encoder for protein-protein interaction modeling, achieving high performance in binding interface prediction and affinity prediction.

bioRxiv · Sep 29, 2026 · PreprintBiochemistry

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