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Large scale active-learning-guided exploration for in vitro protein production optimization
Lysate-based cell-free systems have become a major platform to study gene expression but batch-to-batch variation makes protein production difficult to predict. Here we describe an active learning approach to explore a combinatorial space of ~4,000,000 cell-free buffer compositions, maximizing prote...
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| 出版年: | Nat Commun |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7170859/ https://ncbi.nlm.nih.gov/pubmed/32312991 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-15798-5 |
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