Author

Andrei Sakai

Radboud University NijmegenORCID 0000-0002-2700-8059Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

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Céline CleijiD· 1 shared Christophe DaneloniD· 1 shared Marie‐José HuguetiD· 1 shared Yannick Bernard-Lapeyre· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperSynthetic Biology

Céline CleijORCID

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1 paper

Recent·Most cited

Synthetic BiologybioRxivPreprintMar 25, 2026

Optimization of PURE system composition using automation and active learning

Yannick Bernard-Lapeyre, Céline Cleij, Andrei Sakai…·Christophe Danelon

This study optimizes the PURE system composition using automation and active learning, achieving up to 3-fold improvements in protein yield and translation rate.

2 citations

machine learning (classical)benchmarking

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