Author

Sangeetha Shanmugam

National University of Singapore

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Biology Disciplines

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:proteomics· 1

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Chueh Loo PohiD· 1 shared Dan ZhengiD· 1 shared Jan Ron Goh· 1 shared Jing Wui YeohiD· 1 shared Jingyun ZhangiD· 1 shared Zhangyuan LiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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Chueh Loo PohORCID

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1 paper

Recent·Most cited

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