4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
Haomin Wu, Zhiwei Nie, Hongyu Zhang +1
Accurate prediction of enzyme kinetic parameters is essential for understanding catalytic mechanisms and guiding enzyme engineering.However, existing deep learning-based enzyme-sub…
q-bio.BM2025★ 4 cited
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning
Zhiwei Nie, Hongyu Zhang, Hao Jiang +8
Understanding and modeling enzyme-substrate interactions is crucial for catalytic mechanism research, enzyme engineering, and metabolic engineering. Although a large number of pred…