3 papers
q-bio.QM2024
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab
Zan Chen, Yungeng Liu, Yu Guang Wang +1
Recent advancements in Large Language Models (LLMs) have enhanced efficiency across various domains, including protein engineering, where they offer promising opportunities for dry…
q-bio.QM2024
A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number
Xiaozhu Yu, Kai Yi, Yu Guang Wang +1
Enzymes are biological catalysts that can accelerate chemical reactions compared to uncatalyzed reactions in aqueous environments. Their catalytic efficiency is quantified by the t…
q-bio.QM2024
LaGDif: Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble
Taoyu Wu, Yu Guang Wang, Yiqing Shen
Protein inverse folding aims to identify viable amino acid sequences that can fold into given protein structures, enabling the design of novel proteins with desired functions for a…