Author

Teng Xie

Zhejiang University

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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Biophysics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:protein structure· 1 Assay:structural biology· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Ruhong ZhouiD· 2 shared Ann E. McDermottiD· 1 shared Brayden Williams· 1 shared Chengming HeiD· 1 shared Chi L.L. PhamiD· 1 shared Crystal Semaan· 1 shared Damiano Burrato· 1 shared Emma SiereckiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiophysics

Ruhong ZhouORCID

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Author profile →

2 papers

Recent·Most cited

Structural Studies of an Anti-necroptosis Viral:Human Functional Hetero-amyloid M45:RIPK3 using SSNMR

Chengming He, Nikhil R. Varghese, Eric G. Keeler, Chi L.L. Pham, Teng Xie, Brayden Williams, Stephan Tetter, Crystal Semaan, Karyn L. Wilde, Simon H. J. Brown, James C. Bouwer, Yann Gambin, Emma Sierecki, Megan C. Steain, Ruhong Zhou, , Ann E. McDermott

This paper reports the high-resolution structure of a viral:host hetero-amyloid complex between M45 and RIPK3, revealing its mechanism of inhibiting necroptosis.

Proceedings of the National Academy of Sciences · Apr 27, 2026Peer-reviewedBiophysics

Design of TCR-mimicking binders for pHLA with high potency

Teng Xie, Yaqi Fu, Shi-Meng Gong, Damiano Burrato, Ruhong Zhou

The paper designs high-specificity binders for pHLA complexes using a deep learning and simulation framework, achieving nanomolar potency and mutation selectivity.

bioRxiv · Oct 3, 2025 · PreprintBiophysics