ArticleACS central science2019
Site-Selective C-H Halogenation Using Flavin-Dependent Halogenases Identified via Family-Wide Activity Profiling.
Article in ACS central science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed, 114 citations in OpenAlex.
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- Enzymatic Bromination of Native Peptides for Late-Stage Structural Diversification via Suzuki-Miyaura Coupling.ACS chemical biology · 2026Article
- Flavin-dependent monooxygenases as versatile biocatalysts in biomanufacturing: mechanisms, engineering, and applications.Biotechnology for biofuels and bioproducts · 2026Review
- PCA-Based Database Mining Enables the Discovery of Bacterial Carbene Transferases for Stereodivergent Cyclopropanation.Angewandte Chemie (International ed. in English) · 2026Article
- Engineered Flavin-Dependent Halogenases Catalyze C-C Bond Formation via Enantioselective Semipinacol Rearrangement.Journal of the American Chemical Society · 2026Article
- Enzymatic bromination of native peptides for late-stage structural diversification via Suzuki-Miyaura coupling.bioRxiv : the preprint server for biology · 2025Article
- Precision Molecular Editing: Predicting Substrate Scope and Regiochemistry for CHEESY1, a Flavin Dependent Halogenase.ACS catalysis · 2025Article
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- A substrate-multiplexed platform for profiling enzymatic potential of plant family 1 glycosyltransferases.Nature communications · 2025Article
- Crystallographic and Thermodynamic Evidence of Negative Coupling in the Flavin-Dependent Tryptophan Halogenases AbeH and BorH.ACS omega · 2025Article
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- Self-supervised domain adaptation of protein language model based solely on positive enzyme-reaction pairs.Computational and structural biotechnology journal · 2025Article
- Identifying and Engineering Flavin Dependent Halogenases for Selective Biocatalysis.Accounts of chemical research · 2024Article
- Descriptor-augmented machine learning for enzyme-chemical interaction predictions.Synthetic and systems biotechnology · 2024Article
- ALDELE: All-Purpose Deep Learning Toolkits for Predicting the Biocatalytic Activities of Enzymes.Journal of chemical information and modeling · 2024Article
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Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Enzymes are powerful catalysts for site-selective C-H bond functionalization. Identifying suitable enzymes for this task and for biocatalysis in general remains challenging, however, due to the fundamental difficulty of predicting catalytic activity from sequence information. In this study, family-wide activity profiling was used to obtain sequence-function information on flavin-dependent halogenases (FDHs). This broad survey provided a number of insights into FDH activity, including halide specificity and substrate preference, that were not apparent from the more focused studies reported to date. Regions of FDH sequence space that are most likely to contain enzymes suitable for halogenating small-molecule substrates were also identified. FDHs with novel substrate scope and complementary regioselectivity on large, three-dimensionally complex compounds were characterized and used for preparative-scale late-stage C-H functionalization. In many cases, these enzymes provide activities that required several rounds of directed evolution to accomplish in previous efforts, highlighting that this approach can achieve significant time savings for biocatalyst identification and provide advanced starting points for further evolution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.