Accelerated discovery of highly active enzyme nanohybrids with parallelized Bayesian optimization in hybrid space.
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| Title: | Accelerated discovery of highly active enzyme nanohybrids with parallelized Bayesian optimization in hybrid space. |
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| Authors: | Liu Y; Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China.; Synthera Biotechnology Co. Ltd., Shenzhen, China., Hu H; The State Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, China., Han Y; The State Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, China., Deon Chon JS; Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China., Lo CL; Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China., Chen Z; Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China., Zhang Z; Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China., Yuan Z; The State Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, China. zhihongyuan@mail.tsinghua.edu.cn., Ge J; Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China. junge@mail.tsinghua.edu.cn.; State Key Laboratory of Green Biomanufacturing, Beijing, China. junge@mail.tsinghua.edu.cn. |
| Source: | Nature communications [Nat Commun] 2026 Mar 07; Vol. 17 (1). Date of Electronic Publication: 2026 Mar 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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