Xiaochun Guo
Papers
1
Total Citations
6
H-Index
1
About
Xiaochun Guo is a pioneering researcher at the intersection of synthetic chemistry, biocatalysis, and automated high-throughput experimentation. Their work centers on developing novel photocatalytic methods for precise protein modification, with a particular focus on lysine acylation—a critical tool for studying protein function and developing bioconjugates. In their landmark 2024 study, Guo introduced a photocatalytic acylation strategy for lysine residues in peptides and proteins, dramatically expanding the toolkit for site-selective protein engineering. What sets this work apart is its integration with a microfluidic-based chemical robotic system, enabling rapid, data-rich screening of reaction conditions. By coupling this automation with Gaussian process regression (GPR) modeling, Guo achieved optimal reaction parameters with unprecedented efficiency, demonstrating how machine learning can accelerate complex synthetic discoveries. This fusion of photoredox catalysis, flow chemistry, and artificial intelligence represents a paradigm shift in how chemists approach bioconjugation. With 6 citations already in its first year, this work is poised to influence both synthetic methodology and chemical biology. Guo’s research exemplifies the future of chemistry—where robotic platforms and predictive models empower scientists to explore vast chemical spaces, unlocking new frontiers in protein engineering and therapeutic development.
Research Focus
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Top Papers
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