Ene Reductases Enzymes Design and Optimization

Our revolutionary enzyme AI design platform - EnzymoGenius™ provides a specialized engineering-AI service for the design, customization, and optimization of ene reductases. Services extend assistance to pharmaceutical and biotechnological research entities, facilitating advancements in their respective fields.

Background

Ene reductases, belonging to the 'old yellow enzymes' family, are flavin-dependent enzymes holding vital prominence in biocatalysis. Their utility in biocatalysis arises from their capability of catalyzing the stereoselective reduction of activated C=C bonds. In addition, Ene reductases undertake transformations that are challenging to realize with conventional chemistry so they find usage in broad-ranging applications, notably in the pharmaceutical and chemical industries. These enzymes are also indispensable in the synthesis of optically active molecules and their derivatives, a core component in the design of modern drugs and agrochemicals.

Fig 1. Ene reductase catalyzes the promiscuous reduction of oximes to amines. (Breukelaar W B, et al., 2023)

The AI design technology develops a scope for the design and adaptation of ene reductases. Ene reductases are integral to the transformation of carbon dioxide into organic compounds and their manipulation via AI further utilizes their potential in advancing biotechnological and pharmaceutical research.

Products and Solutions Offering

High-quality Ene Reductases

Exceptional stereospecificity.
Broad substrate scope.
Enhanced thermostability.
Optimized cofactor utilization.

Custom Solutions

Custom Ene Reductase Design: Tailored enzymatic solutions.
Enzyme Engineering: Enhancing existing ene reductases.
High-Throughput Screening: Rapid enzyme selection.
Bioprocess Optimization: Streamlining production processes.

Process for AI Design of Ene Reductases

1. Data Collection. Gather substrate-specific data.

2. Machine Learning Modeling. Develop predictive models.

3. Virtual Screening. Identify potential ene reductases.

4. In Silico Mutagenesis. Optimize enzyme performance.

5. Experimental Validation. Validate AI-designed enzymes.

Application Areas of Our Service

Pharmaceuticals: Drug synthesis and biotransformation.
Biotechnology: Green chemistry and sustainable processes.
Fine Chemicals: High-value chemical production.

Our Technological Advantages

High specificity in enzyme design achieved through advanced AI algorithms.
Superior purity and consistency in enzyme production.
Efficient and timely delivery, ensuring minimal disruption to research projects.
Dedicated customer support for maximizing product utility and knowledge.

EnzymoGenius™ provides unmatchable AI design solutions specific to the domain of enzyme customization, specifically ene reductases, and extends services to biocatalysts for drug synthesis and biomanufacturing. Feel free to contact us for elaborative discussions on the numerous possibilities of this technologically advanced platform. Anticipating fruitful collaborations.

Reference

Breukelaar, W. B.; et al. Mechanistic Insights into the Ene-Reductase-Catalyzed Promiscuous Reduction of Oximes to Amines. ACS Catalysis. 2023, 13(4): 2610–2618.