Machine learning-assisted enzyme engineering through ultra-high throughput sorting and large-scale sequence-function data generation
Jingyun Zhang, Sangeetha Shanmugam, Jing Wui Yeoh, Dan Zheng, Jan Ron Goh, Zhangyuan Lin, Chueh Loo Poh
This paper introduces PUSDA, a framework combining ultra-high throughput sorting and NGS to generate large-scale sequence-function data, enabling ML-driven enzyme engineering with improved efficiency and productivity.
bioRxiv · Mar 30, 2025 · PreprintSynthetic Biology