Computational Saturation Mutagenesis
In silico scanning of all 20 amino acids at targeted active site positions, predicting the binding affinity and stability of each mutant.
Enzyme Active Site Engineering is a highly specialized service aimed at precisely modifying the enzyme's catalytic core to alter its functional properties, such as changing substrate specificity, enhancing catalytic efficiency, or reversing stereoselectivity. This rational approach utilizes data from structural biology, molecular modeling, and computational chemistry to pinpoint critical amino acid residues near the binding pocket. By strategically redesigning the active site geometry and electrostatic environment, we can generate bespoke biocatalysts with superior performance for specific industrial, chemical, or pharmaceutical applications.
CD Biosynsis offers end-to-end Active Site Engineering services, combining advanced in silico design with efficient wet-lab execution. We start by modeling the enzyme-substrate complex to identify residues governing binding and turnover. We then employ computational tools to propose and screen targeted mutations, followed by gene synthesis, expression, and functional characterization of the variants. Our service minimizes the reliance on random mutagenesis and high-throughput screening by focusing on high-probability mutations, significantly reducing project timelines and costs while achieving unparalleled control over enzyme function.
Get a QuoteWe provide a highly rational and efficient route to engineered enzymes with custom-defined properties.
Active site engineering is vital for developing high-performance biocatalysts for industrial and therapeutic uses:
Novel Biocatalyst Development
Creating enzymes capable of catalyzing non-natural or chemically challenging reactions with high efficiency and purity.
Drug Metabolite Synthesis
Engineering cytochrome P450s or other enzymes to selectively produce specific drug metabolites for preclinical studies.
Biosensor Enhancement
Tailoring enzyme recognition for highly specific, high-sensitivity detection of target molecules (e.g., toxins, glucose) in diagnostic devices.
Reduced Product Inhibition
Modifying the active site to allow efficient product release, thereby preventing inhibition and enabling high-yield continuous reactions.
Our platform integrates computational design and experimental validation for a comprehensive engineering solution.
Computational Saturation Mutagenesis
In silico scanning of all 20 amino acids at targeted active site positions, predicting the binding affinity and stability of each mutant.
Targeted Library Design
Design of small, highly enriched mutant libraries (e.g., NNS/NNK) based on promising in silico predictions, reducing screening burden.
High-Fidelity Gene Synthesis
Synthesis and assembly of single or multiple discrete point mutations with 100% sequence accuracy, ready for expression.
High-Throughput Functional Screening
Rapid screening of the engineered variants using custom-designed assays to quantify the improvement in activity or selectivity.
Kinetic and Stability Characterization
Full characterization of successful variants, including Km, kcat, kcat/Km, and thermal denaturation temperature (Tm).
Our Active Site Engineering process is a cyclical workflow ensuring optimal design and functional success:
CD Biosynsis delivers functionally verified, engineered enzymes with comprehensive data packages to support commercialization. Every project includes:
How does rational design compare to directed evolution?
Rational design is highly focused, relying on structural knowledge to make specific, high-probability changes, reducing the size of the library. Directed evolution uses random mutagenesis and brute-force screening but can explore unknown regions of sequence space.
Can you engineer an enzyme for higher thermostability?
Yes, but typically by targeting residues *outside* the immediate active site. We use predictive algorithms to identify stabilizing mutations on the protein surface or core while preserving active site function.
What if the enzyme does not have a crystal structure?
We begin by generating a high-confidence model from the sequence using homologous templates and AI prediction (e.g., AlphaFold). The resulting model is then validated and used for the rational design process.
How many rounds of engineering are usually required?
For simple objectives (e.g., single-site specificity change), one round is often sufficient. For complex goals (e.g., >10-fold activity increase, stereoselectivity reversal), 2-3 iterative rounds are typically required.
Do you only use single point mutations?
No. We can design and synthesize highly rational double, triple, or even more complex multi-site mutants based on predictions of synergistic effects between residues.
Can this service handle non-natural amino acids?
Our *in silico* design can model non-natural amino acids if their parameters are available. Experimental incorporation requires specialized synthetic biology techniques, which can be integrated into the workflow upon request.
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