Curated News
By: NewsRamp Editorial Staff
June 30, 2026
Creative Enzymes Launches AI Platform to Revolutionize Biocatalysis
TLDR
- Creative Enzymes' AI platform cuts biocatalyst development from 12-24 months to 8-12 months, giving early adopters a speed advantage.
- The platform combines computational screening, process optimization, and scale-up evaluation, passing quantitative data between stages for data-driven decisions.
- AI-driven green biocatalysis reduces organic solvent use, waste, and energy consumption, supporting sustainable manufacturing and a cleaner environment.
- AI engineered transaminase variants achieved 99% enantiomeric purity and 89% conversion in sitagliptin production, a remarkable milestone.
Impact - Why it Matters
This news matters because it signals a shift in biomanufacturing toward faster, cheaper, and more sustainable enzyme development. By integrating AI, companies can now design biocatalysts that are both predictable and practical, reducing development time from years to months. This accelerates the production of drugs, agrochemicals, and food ingredients, while lowering costs and environmental impact. For consumers, it means access to more affordable medicines, safer chemicals, and cleaner-labeled products. For industries, it opens new possibilities for making molecules that were previously too complex or expensive to produce enzymatically.
Summary
Creative Enzymes, a global leader in enzyme technology, has launched an AI-integrated platform to accelerate biocatalyst development, addressing a critical bottleneck in biomanufacturing. The platform combines computational enzyme engineering with practical process development to deliver AI-Driven Biocatalysis Solutions that are both predictable in silico and robust at industrial scale. Traditional methods often struggle with the speed required for iterative product development, but AI brings three key advantages: predicting optimal enzyme candidates, designing enzymes constrained by process parameters, and using molecular features to forecast performance. This reduces R&D costs by minimizing experimental testing and lowers the risk of process failure by identifying suitable biocatalysts earlier. Additionally, it enables access to molecules previously inaccessible to enzymatic conversion, opening new product opportunities.
The platform is structured into three specialized service modules. The first, AI-driven biocatalyst discovery and engineering, spans the entire value chain from target reaction analysis to scale-up characterization, reducing the design-build-test-learn cycle from 12–24 months to 8–12 months for moderately complex targets. The second, AI-Driven Industrial Biocatalysis, focuses on bridging lab-scale and commercial production by optimizing substrate concentration, cofactor regeneration, and immobilization, while providing complete technology transfer packages. The third, AI-Driven Green Biocatalysis, emphasizes sustainability by identifying efficient enzymes that minimize solvent use, energy consumption, and waste, aligning with corporate environmental goals.
The platform's effectiveness is demonstrated through a case study on transaminase engineering for sitagliptin production. Using a 6D protein engineering framework with 1.39 million structural fragments, AI selected five transaminase variants with nine mutations each, achieving high solubility and catalytic stability at 7-liter fermentation scale. These enzymes converted prochiral ketones to sitagliptin with over 99% enantiomeric purity and up to 89% conversion during scale-up. Currently, AI biocatalysis is making the biggest impact in pharmaceuticals for chiral intermediate synthesis and hazardous reagent replacement, with growing adoption in agrochemicals for toxicology refinement, food for cleaner labels, and fine chemicals for high-value conversions and sustainable processes.
Source Statement
This curated news summary relied on content disributed by 24-7 Press Release. Read the original source here, Creative Enzymes Launches AI Platform to Revolutionize Biocatalysis
