Author

Tongtong Li

Purdue University West Lafayette

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

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Anton V. SinitskiyiD· 2 shared Chijian Xiang· 2 shared Yunong Xu· 2 shared Bo Kyum YangiD· 1 shared Bo YangiD· 1 shared Byeongtak Lee· 1 shared Chenxia Xu· 1 shared Chong CheniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Anton V. SinitskiyORCID

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Author profile →

3 papers

Recent·Most cited

Immune Reconstitution and Antigenic Exposure History Shape Virus-Specific Humoral Immunity in People with HIV

Juan Han, Shuyan Zhang, Chunhai Liu, Shi Zou, Lanfang Shi, Tongtong Li, Chenxia Xu, Chong Chen, Ke Liang, Qian Wang, Lihong Liu

The paper examines how immune reconstitution and antigenic exposure history influence virus-specific humoral immunity in HIV-treated individuals, finding varied relationships across different viruses.

bioRxiv · Sep 30, 2026 · PreprintImmunology

StructureSAFE: A structure-aware chemical language model for unified hit identification and lead optimization

Bo Yang, Ke Xu, Chijian Xiang, Byeongtak Lee, Yunong Xu, Tongtong Li, Yutong Shi, Anton V. Sinitskiy, J J Li

StructureSAFE is a chemical language model that combines protein structure and evolutionary information with molecular representations to improve hit identification and lead optimization, achieving state-of-the-art performance in chemical plausibility and binding affinity prediction.

bioRxiv · Jul 2, 2026 · PreprintBioinformatics

SLOGEN: A Structure-based Lead Optimization Model Unifying Fragment Generation and Screening

Bo Kyum Yang, Yunong Xu, Chijian Xiang, Yu Zhu, Tongtong Li, Anton V. Sinitskiy, Jianing Li

Slogen unifies fragment generation and screening for lead optimization, improving chemical diversity and synthetic tractability while matching state-of-the-art performance.

bioRxiv · Oct 14, 2025 · PreprintBioinformatics