Tingjun Hou

Research areas

Research interests

Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Chemical Synthesis and Analysis, Machine Learning in Bioinformatics

Publications

2026 LucaCell: a sequence-centric foundation model for cross-species single-cell analysis 2026 Predicting the Post-translational Modification Effects on Protein−Ligand Interactions via End-Point Binding Free Energy Calculation: Database Creation and Strategy Optimization 2026 A Unified Structure-based Deep Learning Framework for High-Throughput Screening of Protein-Binding RNAs 2026 An Explicit Interaction-Prompted Diffusion Framework for High-Fidelity 3D Molecular Generation 2026 Caduceus: MoE Foundation Models for Unifying Biological and Natural Language