Author

Tianjian Liang

University of Pittsburgh

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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Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Jiayi YuaniD· 1 shared Jingxuan GeiD· 1 shared Ruofan JiniD· 1 shared Tingjun HouiD· 1 shared Xiang‐Qun XieiD· 1 shared Xiaowei Xu· 1 shared Yan CheniD· 1 shared Ze‐Yu SuniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

Jiayi YuanORCID

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1 paper

Recent·Most cited

EpiMII: Integrating Structure and Graph Neural Networks for MHC-II Epitope and Neoantigen Design

Jiayi Yuan, Xiaowei Xu, Ze‐Yu Sun, Tianjian Liang, Jingxuan Ge, Ruofan Jin, Xiang‐Qun Xie, Yan Chen, Tingjun Hou, Zhiwei Feng

EpiMII improves MHC-II epitope and neoantigen design by integrating structural features with graph neural networks, achieving higher accuracy and in vivo efficacy in tumor models.

bioRxiv · Apr 29, 2025 · PreprintImmunology