5 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Structure-aware Reinforcement Learning for Protein Directed Evolution
Zikun Nie, Suyuan Zhao, Yizhen Luo +2
Protein optimization remains a longstanding goal in life sciences. Existing machine learning-assisted directed evolution (MLDE) methods primarily rely on sequence-only features, ov…
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
Yizhen Luo, Zikun Nie, Massimo Hong +3
Studying protein mutations within amino acid sequences holds tremendous significance in life sciences. Protein language models (PLMs) have demonstrated strong capabilities in broad…
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
Yizhen Luo, Kai Yang, Massimo Hong +4
Capturing molecular knowledge with representation learning approaches holds significant potential in vast scientific fields such as chemistry and life science. An effective and gen…
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
Yizhen Luo, Xing Yi Liu, Kai Yang +5
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery. However, these methods pa…