The potential of machine learning–assisted protein engineering is demonstrated and an α2,6-SiaT variant with high expression levels for the biological synthesis of 6′-SL is provided.
The utility of ML-assisted evolution for engineering Rubisco with improved carboxylation efficiency and potential for enhancing crop productivity is demonstrated.
Julie L. McDonald, Jiachen Lin, Yunlong Zhao et al.· bioRxiv· 0 citations
This work establishes the first deep learning-enabled RBS design platform for P. denitrificans, offering a robust tool for precise translational regulation and advancing synthetic biology applications in environmental biotechnology.
Zhiping Zheng, Shenghu Zhou, Yu Deng· Synthetic and Systems Biotec...· 0 citations
The rotary motor F1-ATPase has been extensively studied as a model molecular machine, yet rational engineering of its catalytic activity remains challenging because ATP hydrolysis is regulated by long-range intersubunit allostery and large conformational transitions. Here, we developed a homolog-guided engineering stra...
Ryohei Kobayashi, K. Miyake, Tatsuya Oya et al.· bioRxiv· 0 citations
A small-sample, accelerated evolution strategy that integrates focused rational iterative site-specific mutagenesis (FRISM) with the EVOLVEpro model is reported, providing a robust, "lightweight" machine learning framework for the rapid development of new-to-nature photoenzymatic transformations.
Dalbavancin is a potent next-generation lipoglycopeptide antibiotic, but the biosynthesis of its essential precursor, A40926B0, is severely hindered in its native producer Nonomuraea gerenzanensis. Complex competing metabolic pathways and strict transcriptional repression in this strain lead to critical industrial bott...
Xue-Yan Liu, Yan-qiu Liu, Yi-Lei Zheng et al.· Synthetic and Systems Biotec...· 0 citations
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