Computational Structural Design
Using CARD technology, we simulate the interaction between the TE active site and the tethered substrate to predict beneficial mutations.
Thioesterases (TEs) are the essential "gatekeepers" of Polyketide Synthase (PKS) and Non-Ribosomal Peptide Synthetase (NRPS) assembly lines. They govern the termination of biosynthesis, catalyzing either macrocyclization or hydrolysis to release mature bioactive products. However, the industrial application of natural biosynthetic pathways is often limited by premature product release or the high rigidity of TE domains toward non-native substrates, which prevents the production of novel chemical analogs.
Our professional enzyme engineering and optimization services address these challenges by re-tuning Thioesterase specificity and efficiency. By applying advanced molecular strategies, we help researchers minimize undesirable product release and optimize the yield of high-value macrolides, peptides, and specialized metabolites. Consult our experts to tailor a TE engineering strategy that fits your unique metabolic engineering goals.
Get a QuoteThe successful termination of PKS/NRPS pathways is frequently hindered by several biochemical bottlenecks:
Our engineering services are designed to resolve these complex molecular bottlenecks through iterative design and screening.
We leverage integrated protein engineering strategies to enhance your target Thioesterase performance:
Broadened Substrate Scope
We modify the binding pocket via enzyme active site engineering to accommodate bulky or non-natural intermediate chains.
Macrocyclization Efficiency
Enhancing the regio- and stereoselectivity of TE domains to prioritize the formation of cyclic structures over linear waste products.
Gatekeeping Precision
Services focused on specificity engineering to prevent the premature release of truncated biosynthetic intermediates.
Kinetic Synchronization
Optimizing the turnover rate (kcat) of the TE domain to match the speed of the upstream assembly line, ensuring maximum metabolic flux.
We utilize a suite of cutting-edge platforms to deliver high-performing Thioesterase variants:
Computational Structural Design
Using CARD technology, we simulate the interaction between the TE active site and the tethered substrate to predict beneficial mutations.
Continuous Evolution (PACE)
We employ phage-assisted continuous evolution to rapidly select for TE variants with improved catalytic turnover and host compatibility.
Ultra-HTS Droplet Sorting
Our FADS technology allows for the screening of millions of TE variants per hour to identify rare mutants with novel cyclization activities.
AI-Driven Function Prediction
We leverage AI-driven discovery services to identify high-potential TE candidates from metagenomic datasets for pathway integration.
Molecular Dynamics Simulation
Deep-dive enzyme substrate interaction modeling helps us understand the energetic landscape of the termination step.
Our optimization projects follow a systematic, milestone-driven workflow to ensure success:
We maintain rigorous technical communication throughout the project. Our goal is to provide a seamless transition from in-silico design to industrial-scale production. Clients receive comprehensive data packages, including:
Why is the Thioesterase domain considered a gatekeeper in PKS/NRPS?
The TE domain determines which intermediate chains are released and which are rejected. It effectively controls the final structure and the end-point of the entire assembly line.
How do you improve the yield of cyclic peptides over linear ones?
We engineer the active site to stabilize the transition state of the cyclization reaction and exclude water molecules, which are responsible for simple hydrolytic release.
Can you engineer a TE to accept a completely synthetic intermediate chain?
Yes. By modifying the steric and electrostatic properties of the substrate binding channel, we can broaden the TE's scope to recognize unnatural polyketide or peptide precursors.
Does TE engineering affect the upstream PKS/NRPS modules?
Indirectly, yes. If a TE is inefficient, it causes a "traffic jam" on the assembly line, slowing down all upstream modules. Optimizing the TE restores pathway flux.
What high-throughput methods do you use for TE screening?
We use a combination of mass spectrometry-based screening, fluorescence-activated droplet sorting (FADS), and biosensor-linked assays tailored to the specific product.
Can you assist with TE domain swapping in hybrid gene clusters?
Yes, we specialize in engineering the linker regions and protein-protein interfaces to ensure that a "swapped" TE domain communicates effectively with its new upstream partner.
How do you minimize the premature release of short-chain intermediates?
We apply specificity engineering to create a "size-exclusion" effect in the binding pocket, ensuring the enzyme only reacts when the substrate reaches its full programmed length.
What is the typical success rate for improving TE-mediated macrocyclization?
By combining AI-driven design with high-diversity library screening, we typically achieve significant increases in cyclization-to-hydrolysis ratios within 2-3 iterative cycles.
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