Tingzhong Tian

The University of Texas at Austin — United States

Computer Science · Physical Sciences

13h-index949citations34works3.82yr avg
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Research Topics

Computational Drug Discovery Methods(16), Bioinformatics and Genomic Networks(9), Protein Structure and Dynamics(7), Machine Learning in Materials Science(5), RNA Research and Splicing(4)

Publications34 total

Network Pharmacology and Drug Repurposing
2025
Examining teacher appraisals and occupational health indicators across school contexts following COVID-19
Social Psychology of Education·2025Open Access
Targeting WEE1 in tumor-associated dendritic cells potentiates antitumor immunity via the cGAS/STING pathway
Cell Reports·2025· 6 citedOpen Access
梵净山天然林菌根植物功能多样性与群落构建沿海拔梯度的变化
Chinese Journal of Plant Ecology·2025Open Access
MEDIATING PROTEINS UNDERLYING THE RELATIONSHIP BETWEEN MITOCHONDRIAL DNA COPY NUMBER AND DEMENTIA FROM TWO COHORTS
Innovation in Aging·2024Open Access
PLASMA PROTEOMIC MEDIATORS LINKING INTERMUSCULAR FAT WITH PSYCHOMOTOR SPEED
Innovation in Aging·2024Open Access
Benchmarking compound activity prediction for real-world drug discovery applications
Communications Chemistry·2024· 13 citedOpen Access
A probabilistic knowledge graph for target identification
PLoS Computational Biology·2024· 3 citedOpen Access
Network-based screening identifies sitagliptin as an antitumor drug targeting dendritic cells
Journal for ImmunoTherapy of Cancer·2024· 12 citedOpen Access
MolSHAP: Interpreting Quantitative Structure–Activity Relationships Using Shapley Values of R-Groups
Journal of Chemical Information and Modeling·2023· 16 cited
PocketAnchor: Learning structure-based pocket representations for protein-ligand interaction prediction
Cell Systems·2023· 29 cited
Benchmarking Compound Activity Prediction for Real-World Drug Discovery Applications
Research Square (Research Square)·2023· 2 citedOpen Access
A probabilistic knowledge graph for target identification
Research Square (Research Square)·2023Open Access
Improving target-disease association prediction through a graph neural network with credibility information
2022· 2 citedOpen Access
PocketAnchor: Learning Structure-based Pocket Representations for Protein-Ligand Interaction Prediction
2022· 1 citedOpen Access
PocketAnchor: Learning Structure-Based Pocket Representations for Protein-Ligand Interaction Prediction
SSRN Electronic Journal·2022Open Access
A community challenge for a pancancer drug mechanism of action inference from perturbational profile data
Cell Reports Medicine·2022· 65 citedOpen Access
A deep-learning framework for multi-level peptide–protein interaction prediction
Nature Communications·2021· 211 citedOpen Access
An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19
Signal Transduction and Targeted Therapy·2021· 199 citedOpen Access
Understanding the phase separation characteristics of nucleocapsid protein provides a new therapeutic opportunity against SARS-CoV-2
Protein & Cell·2021· 63 citedOpen Access
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Frequent Co-authors

Jianyang Zeng(23), Shuya Li(17), Dan Zhao(16), Yipin Lei(8), Fangping Wan(8), Yuanpeng Xiong(6), Haidong Tang(5), Ziting Zhang(5), Ziheng Zou(5), Nian Wu(4), Enming Yuan(4), Hantao Shu(4), Xiaolong Feng(4), Xiaokun Shen(4), Kaimin Xiao(4), Yiyue Ge(3), Jingxin Li(3), Lixiang Hong(3), Fengcai Zhu(3), Eugene F. Douglass(3)