Tianjian Liang is a fifth-year PhD student in the School of Pharmacy at the University of Pittsburgh. His research interests include computational antibody–drug discovery and the development of artificial intelligence-based protein design algorithms.
- PharmD, MS
Education & Training
1. Liang T*, Sun Z*, Ishima R, Xie X-Q, Li W, Feng Z. ProstaNet: A Novel GVP-GNN Algorithm for Protein Stability Prediction in Single and Multiple Point Mutations with Experimental Validation. Research 2025;8:0674
2. Liang T*, Sun Z*, Hines M, Penrose K, Hao Y, Chu X, Mellors J, Dimitrov D, Xie X-Q, Li W, Feng Z. AI-based IsAb2.0 for antibody design. Briefings in Bioinformatics 2024;25:bbae445
3. Cheng J*, Liang T*, Xie X-Q, Feng Z, Meng L. A new era of antibody discovery: an in-depth review of AI-driven approaches. Drug Discovery Today 2024;29:103984
4. Liang T, Jiang C, Yuan J, Othman Y, Xie X-Q, Feng Z. Differential performance of RoseTTAFold in antibody modeling. Briefings in Bioinformatics 2022;23:bbac152.
5. Z.-Y. Sun, J. Yuan, D. Jaiswal, J. Ge, T. Liang, J. Wei, J. Cao, Y. Li, X. Chu, Y. Chen, Y. Xue, W. Li, T. Hou, Z. Feng, AntiBMPNN: Structure-Guided Graph Neural Networks for Precision Antibody Engineering. Adv. Sci. 2025, e04278.
2.“ProstabNet: Innovative Deep-Learning Framework to Predict Protein Thermodynamic Stability in Point Mutations by GVP-GNN Computing and Experimental Validations” (Poster), 2025, Pitt Data Science Day
