8 citations · 17 across the 8 of their papers we have counts for
4 papers · 1 filter
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
Fang Wu, Stan Z. Li
Protein-protein interaction (PPI) represents a central challenge within the biology field, and accurately predicting the consequences of mutations in this context is crucial for dr…
Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification
Zicheng Liu, Siyuan Li, Zhiyuan Chen +6
The interactions between DNA, RNA, and proteins are fundamental to biological processes, as illustrated by the central dogma of molecular biology. Although modern biological pre-tr…
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
Fang Wu, Shuting Jin, Siyuan Li +1
Machine learning catalyzes a revolution in chemical and biological science. However, its efficacy heavily depends on the availability of labeled data, and annotating biochemical da…
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu, Nicolas Courty, Shuting Jin +1
Training data are usually limited or heterogeneous in many chemical and biological applications. Existing machine learning models for chemistry and materials science fail to consid…