2025
Of Revolutions and Roadblocks: The Emerging Role of Machine Learning in Biocatalysis
ACS Central Science. 2025. DOI : 10.1021/acscentsci.5c00949.Data-driven protease engineering by DNA-recording and epistasis-aware machine learning
Nature Communications. 2025. Vol. 16, num. 1. DOI : 10.1038/s41467-025-60622-7.Computer-assisted multilevel optimization of malonyl-CoA availability in Pseudomonas putida
Metabolic Engineering. 2025. Vol. 90, p. 165 – 177. DOI : 10.1016/j.ymben.2025.03.008.Strategic redesign of the central metabolism in Pseudomonas putida boosts NADPH generation and product formation
2025
Permeabilisation of the Outer Membrane of Escherichia coli for Enhanced Transport of Complex Molecules
Microbial Biotechnology. 2025. Vol. 18, num. 3. DOI : 10.1111/1751-7915.70122. 2024
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
ACS Central Science. 2024. Vol. 10, num. 7, p. 1357 – 1370. DOI : 10.1021/acscentsci.4c00258.From sequence to function and back – High-throughput sequence-function mapping in synthetic biology
Current Opinion in Systems Biology. 2024. Vol. 37. DOI : 10.1016/j.coisb.2023.100499.2023
An Artificial Metalloenzyme for Atroposelective Metathesis**
Chemcatchem. 2023. Vol. 15, num. 23. DOI : 10.1002/cctc.202301113.Ultradeep characterisation of translational sequence determinants refutes rare-codon hypothesis and unveils quadruplet base pairing of initiator tRNA and transcript
Nucleic Acids Research. 2023. Vol. 5, num. 51, p. 2377 – 2396. DOI : 10.1093/nar/gkad040.2021
Systematic engineering of artificial metalloenzymes for new-to-nature reactions
Science Advances. 2021. Vol. 7, num. 4. DOI : 10.1126/sciadv.abe4208.2020
Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping
Nature Communications. 2020. Vol. 11, num. 1. DOI : 10.1038/s41467-020-17222-4.The Quest for Xenobiotic Enzymes: From New Enzymes for Chemistry to a Novel Chemistry of Life
ChemBioChem. 2020. Vol. 21, num. 16, p. 2241 – 2249. DOI : 10.1002/cbic.202000121.2019
Chemo-enzymatic cascades to produce cycloalkenes from bio-based resources
Nature Communications. 2019. Vol. 10, num. 1. DOI : 10.1038/s41467-019-13071-y.2018
E. coli surface display of streptavidin for directed evolution of an allylic deallylase
Chemical Science. 2018. Vol. 9, num. 24, p. 5383 – 5388. DOI : 10.1039/C8SC00484F.Artificial Metalloenzymes on the Verge of New-to-Nature Metabolism
Trends in Biotechnology. 2018. Vol. 36, num. 1, p. 60 – 72. DOI : 10.1016/j.tibtech.2017.10.003.2017
Combinatorial pathway optimization for streamlined metabolic engineering
Current Opinion in Biotechnology. 2017. Vol. 47, p. 142 – 151. DOI : 10.1016/j.copbio.2017.06.014.Biotin-independent strains of Escherichia coli for enhanced streptavidin production
Metabolic Engineering. 2017. Vol. 40, p. 33 – 40. DOI : 10.1016/j.ymben.2016.12.013.2016
Directed evolution of artificial metalloenzymes for in vivo metathesis
Nature. 2016. Vol. 537, p. 661 – 665. DOI : 10.1038/nature19114.Rationally reduced libraries for combinatorial pathway optimization minimizing experimental effort
Nature Communications. 2016. Vol. 7, num. 1. DOI : 10.1038/ncomms11163.Periplasmic Screening for Artificial Metalloenzymes
Methods in Enzymology; Elsevier, 2016. p. 539 – 556.
