The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Exploring PadR Proteins for Artificial Enzyme Design
Open accessPublished version of a preprint
Abstract
The development of artificial enzymes through incorporation of new‐to‐nature catalytic functionality into protein scaffolds has emerged as a powerful approach to expand the biocatalytic repertoire. Inspired by the success of Lactococcal multidrug resistance regulator (LmrR), a transcriptional regulator protein, whose unique scaffold has been used for the design of a range of artificial enzymes, we performed a bioinformatics study in an effort to expand the scope of protein scaffolds for artificial enzyme design with other LmrR‐like proteins. LmrR belongs to the phenolic acid decarboxylase transcriptional regulator (PadR) subfamily 2 (PadR‐s2) and exhibits an unusual open pore with promiscuous binding capabilities. Using genome mining and homology modeling, we identified six previously uncharacterized PadR‐s2 proteins and experimentally evaluated them as protein scaffolds for the design of artificial Friedel–Crafts (FC) alkylases. Two of the candidates, Lactococcus fujiensis (LCf) PadR and Brachyspirahampsonii (Bh) PadR, could be applied in the iminium‐promoted FC‐alkylation using genetically incorporated noncanonical amino acids p‐aminophenylalanine or 3‐aminotyrosine as catalytic residues. Interestingly, contrary to homology models, AlphaFold predictions of the PadR‐s2 candidates and X‐ray crystallography of BhPadR and a variant incorporating 3‐aminotyrosine revealed closed‐pore structures. Our findings thus demonstrate that an open‐pore structure like LmrR is not a prerequisite for designing artificial FC‐alkylases and introduce two new PadR‐s2 scaffolds for future application.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · cited 1×
“AlphaFold [39, 40] was used to predict the structures of these putative PadR proteins starting from their amino acid sequences.”
Impact of protein conformational diversity on AlphaFold predictions
Saldaño, T., Escobedo, N., Marchetti, J., Zea, D. J., Mac Donagh, J., Velez Rueda, A. J., Gonik, E., Melani, A. G., Novomisky Nechcoff, J., Salas, M. N., et al. (2021) · doi:10.1101/2021.10.27.466189 · Cited by 196 · cited 1×
“Furthermore, potential conformational dynamics are not sam pled by these static structure predictions [43, 44], and similarly to LmrR, these PadR proteins might exhibit a degree of con formational flexibility [45–47].”
Research works printed but not linked: 52
- Reisenbauer J. C., 2024, Catalyzing the Future: Recent Advances in Chemical Synthesis Using Enzymes, Current Opinion in Chemical Biology, 83, 102536, 10.1016/j.cbpa.2024.102536 · DOI
- Buller R., 2023, From Nature to Industry: Harnessing Enzymes for Biocatalysis, Science, 382, eadh8615, 10.1126/science.adh8615 · DOI
- Hanefeld U., 2022, Biocatalysis Making Waves in Organic Chemistry, Chemical Society Reviews, 51, 594, 10.1039/D1CS00100K · DOI
- Winkler C. K., 2021, Power of Biocatalysis for Organic Synthesis, ACS Central Science, 7, 55, 10.1021/acscentsci.0c01496 · DOI
- Chen K., 2020, Engineering New Catalytic Activities in Enzymes, Nature Catalysis, 3, 203, 10.1038/s41929-019-0385-5 · DOI
- Lovelock S. L., 2022, The Road to Fully Programmable Protein Catalysis, Nature, 606, 49, 10.1038/s41586-022-04456-z · DOI
- De Kok N. A. W., 2023, Tapping into Abiological Reaction Chemistries in Biocatalysis, Chem Catalysis, 3, 100493, 10.1016/j.checat.2022.100493 · DOI
- Morita I., 2024, Recent Advances in the Design and Optimization of Artificial Metalloenzymes, Current Opinion in Chemical Biology, 81, 102508, 10.1016/j.cbpa.2024.102508 · DOI
- Schwizer F., 2018, Artificial Metalloenzymes: Reaction Scope and Optimization Strategies, Chemical Reviews, 118, 142, 10.1021/acs.chemrev.7b00014 · DOI
- Roelfes G., 2019, LmrR: A Privileged Scaffold for Artificial Metalloenzymes, Accounts of Chemical Research, 52, 545, 10.1021/acs.accounts.9b00004 · DOI
- Nödling A. R., 2020, Enabling Protein-Hosted Organocatalytic Transformations, RSC Advances, 10, 16147, 10.1039/D0RA01526A · DOI
- Yu Y., 2018, Artificial Metalloenzyme Design with Unnatural Amino Acids and Non-Native Cofactors, ACS Catalysis, 8, 1851, 10.1021/acscatal.7b03754 · DOI
- Liu F., 2023, Artificial Small Molecules as Cofactors and Biomacromolecular Building Blocks in Synthetic Biology: Design, Synthesis, Applications, and Challenges, Molecules, 28, 5850, 10.3390/molecules28155850 · DOI
- Fukumoto K., 2014, Rhodium-Complex-Linked Hybrid Biocatalyst: Stereo-Controlled Phenylacetylene Polymerization Within an Engineered Protein Cavity, ChemCatChem, 6, 1229, 10.1002/cctc.201301055 · DOI
- Nödling A. R., 2018, Reactivity and Selectivity of Iminium Organocatalysis Improved by a Protein Host, Angewandte Chemie International Edition, 57, 12478, 10.1002/anie.201806850 · DOI
- Hutton A. E., 2024, A Non-Canonical Nucleophile Unlocks a New Mechanistic Pathway in a Designed Enzyme, Nature Communications, 15, 1956, 10.1038/s41467-024-46123-z · DOI
- Madoori P. K., 2009, Structure of the Transcriptional Regulator LmrR and Its Mechanism of Multidrug Recognition, The EMBO Journal, 28, 156, 10.1038/emboj.2008.263 · DOI
- Brouwer B., 2024, Noncanonical Amino Acids: Bringing New-to-Nature Functionalities to Biocatalysis, Chemical Reviews, 124, 10877, 10.1021/acs.chemrev.4c00136 · DOI
- Birch-Price Z., 2024, Noncanonical Amino Acids in Biocatalysis, Chemical Reviews, 124, 8740, 10.1021/acs.chemrev.4c00120 · DOI
- Jeong W. J., 2020, Proteins as Diverse, Efficient, and Evolvable Scaffolds for Artificial Metalloenzymes, Chemical Communications, 56, 9586, 10.1039/D0CC03137B · DOI
- Hanreich S., 2023, Design of Artificial Enzymes: Insights into Protein Scaffolds, ChemBioChem, 24, e202200566, 10.1002/cbic.202200566 · DOI
- Liang A. D., 2019, Artificial Metalloenzymes Based on the Biotin–Streptavidin Technology: Enzymatic Cascades and Directed Evolution, Accounts of Chemical Research, 52, 585, 10.1021/acs.accounts.8b00618 · DOI
- Mukherjee P., 2020, Evolution of Strept(avidin)-Based Artificial Metalloenzymes in Organometallic Catalysis, Chemical Communications, 56, 14519, 10.1039/D0CC05450J · DOI
- Hossack E. J., 2023, Building Enzymes through Design and Evolution, ACS Catalysis, 13, 12436, 10.1021/acscatal.3c02746 · DOI
- Burke A. J., 2019, Design and Evolution of an Enzyme with a Non-Canonical Organocatalytic Mechanism, Nature, 570, 219, 10.1038/s41586-019-1262-8 · DOI
- Longwitz L., 2024, Boron Catalysis in a Designer Enzyme, Nature, 629, 824, 10.1038/s41586-024-07391-3 · DOI
- Veen M. J., 2025, Artificial Gold Enzymes Using a Genetically Encoded Thiophenol-Based Noble-Metal-Binding Ligand, Angewandte Chemie International Edition, 64, e202421912, 10.1002/anie.202421912 · DOI
- Brouwer B., 2025, Genetically Encoded 3-Aminotyrosine as Catalytic Residue in a Designer Friedel–Crafts Alkylase, Chemical Science, 16, 8721, 10.1039/D5SC01055A · DOI
- Gran-Scheuch A., 2024, Designing Michaelases: Exploration of Novel Protein Scaffolds for Iminium Biocatalysis, Faraday Discussions, 252, 279, 10.1039/D4FD00057A · DOI
- Bersellini M., 2017, Multidrug Resistance Regulators (MDRs) as Scaffolds for the Design of Artificial Metalloenzymes, Organic & Biomolecular Chemistry, 15, 3069, 10.1039/C7OB00390K · DOI
- Gutiérrez de Souza C., 2020, Artificial Metalloenzymes Based on TetR Proteins and Cu(II) for Enantioselective Friedel-Crafts Alkylation Reactions, ChemCatChem, 12, 3190, 10.1002/cctc.202000245 · DOI
- Longwitz L., 2024, Boron Designer Enzyme with a Hybrid Catalytic Dyad, ACS Catalysis, 14, 18469, 10.1021/acscatal.4c06052 · DOI
- Fibriansah G., 2012, Crystal Structures of Two Transcriptional Regulators from Bacillus Cereus Define the Conserved Structural Features of a PadR Subfamily, PLoS ONE, 7, e48015, 10.1371/journal.pone.0048015 · DOI
- Huillet E., 2006, LadR, a New PadR-Related Transcriptional Regulator from Listeria Monocytogenes, Negatively Regulates the Expression of the Multidrug Efflux Pump MdrL, FEMS Microbiology Letters, 254, 87, 10.1111/j.1574-6968.2005.00014.x · DOI
- Lee C., 2020, Structure-Based Functional Analysis of a PadR Transcription Factor from Streptococcus Pneumoniae and Characteristic Features in the PadR Subfamily-2, Biochemical and Biophysical Research Communications, 532, 251, 10.1016/j.bbrc.2020.08.035 · DOI
- Takeuchi K., 2014, Dynamic Multidrug Recognition by Multidrug Transcriptional Repressor LmrR, Scientific Reports, 4, 6922, 10.1038/srep06922 · DOI
- van der Berg J. P., 2015, Binding of the Lactococcal Drug Dependent Transcriptional Regulator LmrR to Its Ligands and Responsive Promoter Regions, PLOS ONE, 10, e0135467, 10.1371/journal.pone.0135467 · DOI
- Shao J., 2022, The Role of Tryptophan in π Interactions in Proteins: An Experimental Approach, Journal of the American Chemical Society, 144, 13815, 10.1021/jacs.2c04986 · DOI
- 10.1101/2021.10.04.463034 · DOI · Paper page
- Krieger E., 2009, Improving Physical Realism, Stereochemistry, and Side-chain Accuracy in Homology Modeling: Four Approaches that Performed Well in CASP8, Proteins: Structure, Function, and Bioinformatics, 77, 114, 10.1002/prot.22570 · DOI
- Waterhouse A. M., 2009, Bioinformatics, 25, 1189, 10.1093/bioinformatics/btp033 · DOI
- Chakravarty D., 2022, AlphaFold2 Fails to Predict Protein Fold Switching, Protein Science, 31, e4353, 10.1002/pro.4353 · DOI · Paper page
- Villarino L., 2020, Cofactor Binding Dynamics Influence the Catalytic Activity and Selectivity of an Artificial Metalloenzyme, ACS Catalysis, 10, 11783, 10.1021/acscatal.0c01619 · DOI
- Casilli F., 2024, Computation-Guided Engineering of Distal Mutations in an Artificial Enzyme, Faraday Discussions, 252, 262, 10.1039/D4FD00069B · DOI
- Bowman G. R., 2024, AlphaFold and Protein Folding: Not Dead Yet! the Frontier Is Conformational Ensembles, Annual Review of Biomedical Data Science, 7, 51, 10.1146/annurev-biodatasci-102423-011435 · DOI
- Bos J., 2013, An Enantioselective Artificial Metallo-Hydratase, Chemical Science, 4, 3578, 10.1039/c3sc51449h · DOI
- Ericsson U. B., 2006, Thermofluor-Based High-Throughput Stability Optimization of Proteins for Structural Studies, Analytical Biochemistry, 357, 289, 10.1016/j.ab.2006.07.027 · DOI
- Boivin S., 2013, Optimization of Protein Purification and Characterization Using Thermofluor Screens, Protein Expression and Purification, 91, 192, 10.1016/j.pep.2013.08.002 · DOI
- Bos J., 2015, Supramolecular Assembly of Artificial Metalloenzymes Based on the Dimeric Protein LmrR as Promiscuous Scaffold, Journal of the American Chemical Society, 137, 9796, 10.1021/jacs.5b05790 · DOI
- Mayer C., 2019, Directed Evolution of a Designer Enzyme Featuring an Unnatural Catalytic Amino Acid, Angewandte Chemie International Edition, 58, 2083, 10.1002/anie.201813499 · DOI
- Leveson-Gower R. B., 2021, Unlocking Iminium Catalysis in Artificial Enzymes to Create a Friedel–Crafts Alkylase, ACS Catalysis, 11, 6763, 10.1021/acscatal.1c00996 · DOI
- Leveson-Gower R. B., 2025, Evolutionary Specialization of a Promiscuous Designer Enzyme, ACS Catalysis, 15, 1544, 10.1021/acscatal.4c06409 · DOI
Metadata
- Authors
- Brouwer, B., Thunnissen, A.-M. W. H., Rozeboom, H. J., & Roelfes, G.
- Affiliations
- University of Groningen (NL)
- Groningen Biomolecular Sciences and Biotechnology Institute University of Groningen Groningen Netherlands
- Stratingh Institute for Chemistry University of Groningen Groningen Netherlands
- Venue
- ChemBioChem
- Publisher
- Wiley
- Published
- 2026-04
- Volume
- 27
- Issue
- 8
- Pages
- e70308-e70308
- ISSN
- 1439-4227 (ISSN-L)
- 1439-7633
- OpenAlex
- W7158208226
- Cited by
- 1
- References
- 2
- Citations by year
- 2026: 1
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ChemBioChem (publishedVersion, cc-by)
- ChemRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
- Funders
- NWO (OCENW.KLEIN.143)
- ERC (885396)
- ESRF (MX-2649)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Enzyme Catalysis and Immobilization
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biochemical and Structural Characterization
- Keywords
- enzyme mimics, LmrR, protein scaffolds, transcription factors, p-aminophenylalanine, unnatural amino acids, open pore structure, closed-pore structure, genome mining, homology modeling, AlphaFold predictions
- MeSH terms
- Bacterial Proteins, Carboxy-Lyases, Models, Molecular, Protein Engineering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exploring PadR Proteins for Artificial Enzyme Design. https://app.cochat.ai/papers/10.1002/cbic.70308
- The paper
- Brouwer, B., Thunnissen, A.-M. W. H., Rozeboom, H. J., & Roelfes, G. (2026). Exploring PadR Proteins for Artificial Enzyme Design. ChemBioChem. https://doi.org/10.1002/cbic.70308