Sino Biological Supports Tencent AI Lab Protein Design Study Published in Nature Communications

May 28, 2026
Sino Biological announced that its cell-free protein synthesis workflow was used by Tencent AI for Life Sciences Lab in a Nature Communications study to validate AI-designed proteins with enhanced activity, stability, and multifunctionality.

Sino Biological announced that its gene synthesis and cell free protein expression workflow was used by Tencent AI for Life Sciences Lab in a study published in Nature Communications, according to a press release. The collaboration enabled rapid validation of AI designed proteins with improved activity, stability, and multifunctionality.

The study introduced an Ontology Reinforcement Iteration framework that combines protein ontology with reinforcement learning based on experimental feedback. Data from protein expression levels and functional activity were fed back into the model to refine sequence design accuracy.

Tencent researchers used Sino Biological's XPressMAX Cell Free Protein Synthesis Kit to accelerate protein expression and functional screening. The workflow supported fast design, build, and test cycles, resulting in a lysozyme with more than 100 fold higher activity than the natural enzyme, a thermostable chitinase active at 85 degrees Celsius, and bifunctional enzymes with enhanced performance.

The XPressMAX kit allows protein expression in as little as three hours, supports various DNA templates, and is suitable for high throughput and industrial applications.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.