Yuhao An
Papers
1
Total Citations
6
H-Index
1
About
Yuhao An is a rising researcher at the forefront of chemical biology and automated synthesis, whose work bridges photoredox catalysis and high-throughput experimentation. His most influential contribution, the 2024 study "Photocatalytic acylation of lysine screened using a microfluidic-based chemical robotic system," has already garnered 6 citations, signaling its growing impact. In this work, An pioneered a novel photoredox catalytic method for lysine acylation in proteins and peptides—a critical modification for studying protein function and developing bioconjugates. Crucially, he integrated a microfluidic-based chemical robotic system with Gaussian process regression (GPR) modeling to rapidly screen and optimize reaction conditions, demonstrating how artificial intelligence and automation can accelerate discovery in synthetic biology. This approach not only enhances the efficiency of late-stage peptide functionalization but also sets a new standard for data-driven reaction development. An’s research sits at the intersection of photocatalysis, protein chemistry, and robotic automation, offering powerful tools for precision chemical biology. His work exemplifies how merging machine learning with microfluidics can unlock previously inaccessible chemical transformations, making him a key figure to watch in the evolution of automated chemical synthesis and bioconjugation.
Research Focus
Key Achievements
Top Papers
- 1