Akasit Visootsat
Papers
1
Total Citations
8
H-Index
1
About
Akasit Visootsat is a researcher at the forefront of protein engineering and synthetic biology, with a focus on developing high-throughput methods to accelerate the discovery and optimization of proteins. His major contributions center on the integration of automated robotic systems with advanced molecular biology techniques, particularly through his work on plasmid-based one-pot saturation mutagenesis. In his most-cited paper (2018), Visootsat demonstrated a powerful approach for creating comprehensive mutant libraries and screening them robotically, using a loss-of-function mutation in green fluorescent protein as a model to assess nucleotide and amino acid biases. This work, garnering 8 citations, highlights his expertise in streamlining the protein engineering pipeline—a critical need for industrial and therapeutic applications. By combining mutagenesis efficiency with automation, Visootsat’s research reduces manual labor and increases throughput, enabling the rapid identification of gain-of-function mutants. His achievements reflect a commitment to bridging molecular biology and engineering, offering practical tools for researchers in directed evolution and synthetic biology. For students and scientists alike, Visootsat’s work exemplifies how automation can transform protein design, making complex experiments more accessible and reproducible.
Research Focus
Key Achievements
Top Papers
- 1