ReviewChembiochem : a European journal of chemical biology2022
Predictive Engineering of Class I Terpene Synthases Using Experimental and Computational Approaches.
Review in Chembiochem : a European journal of chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Chemoenzymatic Synthesis of (4R,7R)-Zingiberene Enables Construction of nor-Sesquiterpene Semiochemical Analogs.Chembiochem : a European journal of chemical biology · 2026Article
- Dock & design: engineering specificity for an alternative pimaradiene outcome with theChemical science · 2026Article
- Development of a transcription factor-based biosensor strain for reporting α-terpineol productionRSC chemical biology · 2026Article
- Expanding the substrate scope of a bacterial monoterpene synthase for the production of sesquiterpenoid and diterpenoid products.The FEBS journal · 2026Article
- MARTS-DB: a database of mechanisms and reactions of terpene synthases.BMC bioinformatics · 2025Article
- Benchmarking methods for measuring biosynthetic gene cluster similarity and determination of gene cluster families.Bioinformatics (Oxford, England) · 2025Article
- Engineering Sanghuangporus sanghuang for enhanced (-)-aristolone production via metabolic pathway optimization and terpene synthase engineering.Applied microbiology and biotechnology · 2025Article
- Dual distal insertions drive pimarane-to-miltiradiene rearrangement with enhanced enzymatic activity.Biodesign research · 2025Article
- The Recent Progress of Tricyclic Aromadendrene-Type Sesquiterpenoids: Biological Activities and Biosynthesis.Biomolecules · 2024Review
- Cyclization mechanism of monoterpenes catalyzed by monoterpene synthases in dipterocarpaceae.Synthetic and systems biotechnology · 2024Article
- Decoding Catalysis by Terpene Synthases.ACS catalysis · 2023Review
- Predictive Engineering of Class I Terpene Synthases Using Experimental and Computational Approaches.Chembiochem : a European journal of chemical biology · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Terpenoids are a highly diverse group of natural products with considerable industrial interest. Increasingly, engineered microbes are used for the production of terpenoids to replace natural extracts and chemical synthesis. Terpene synthases (TSs) show a high level of functional plasticity and are responsible for the vast structural diversity observed in natural terpenoids. Their relatively inert active sites guide intrinsically reactive linear carbocation intermediates along one of many cyclisation paths via exertion of subtle steric and electrostatic control. Due to the absence of a strong protein interaction with these intermediates, there is a remarkable lack of sequence-function relationship within the TS family, making product-outcome predictions from sequences alone challenging. This, in combination with the fact that many TSs produce multiple products from a single substrate hampers the design and use of TSs in the biomanufacturing of terpenoids. This review highlights recent advances in genome mining, computational modelling, high-throughput screening, and machine-learning that will allow more predictive engineering of these fascinating enzymes in the near future.
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