%0 Journal Article %T Large scale active-learning-guided exploration for in vitro protein production optimization %+ Génomique métabolique (UMR 8030) %+ MICrobiologie de l'ALImentation au Service de la Santé (MICALIS) %+ Criblage chémogénomique et biologique (Plateforme) - Chemogenomic and Biological Screening Platform (PF-CCB) %+ University of Manchester [Manchester] %A Borkowski, Olivier %A Koch, Mathilde %A Zettor, Agnes %A Pandi, Amir %A Batista, Angelo Cardoso %A Soudier, Paul %A Faulon, Jean-Loup %Z Génopôle "Allocation Recherche 2017" DGA (French Ministry of Défense) Ecole Polytechnique French National Research Agency (ANR)French National Research Agency (ANR)INRAE (National Institute for Agricultural, Alimentation, and Environmental Research) University of Paris-Saclay Biotechnology and Biological Sciences Research Council (BBSRC)Engineering & Physical Sciences Research Council (EPSRC)BB/M017702/1Life Science Department of the University of Paris Saclay Global Care initiative Institut Carnot Pasteur MS %< avec comité de lecture %@ 2041-1723 %J Nature Communications %I Nature Publishing Group %V 11 %N 1 %P 1872 %8 2020 %D 2020 %R 10.1038/s41467-020-15798-5 %M 32312991 %Z Life Sciences [q-bio]/Biochemistry, Molecular Biology/Structural Biology [q-bio.BM] %Z Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] %Z Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Journal articles %X 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 protein production and identifying critical parameters involved in cell-free productivity. We also provide a one-step-method to achieve high quality predictions for protein production using minimal experimental effort regardless of the lysate quality. %G English %Z PNRIA %2 https://pasteur.hal.science/pasteur-02552065/document %2 https://pasteur.hal.science/pasteur-02552065/file/s41467-020-15798-5.pdf %L pasteur-02552065 %U https://pasteur.hal.science/pasteur-02552065 %~ PASTEUR %~ CEA %~ AGROPARISTECH %~ CNRS %~ UNIV-EVRY %~ DSV-IG %~ DSV %~ CEA-UPSAY %~ GENOMIQUE-METABOLIQUE %~ UNIV-PARIS-SACLAY %~ AGREENIUM %~ UNIV-EVRY-SACLAY %~ JACOB %~ CEA-DRF %~ GENOSCOPE %~ INRAE %~ TEST-HALCNRS %~ PNRIA %~ UNIVERSITE-PARIS-SACLAY %~ ANR %~ GS-BIOSPHERA %~ GS-LIFE-SCIENCES-HEALTH %~ GS-HEALTH-DRUG-SCIENCES %~ MICA-UNITES %~ MICALIS