The Pulse
Sino Biological launches wet-lab service for AI-designed proteins
Sino Biological has launched 4RISE services to test protein binders designed with AI. The company says applicable workflows can deliver binding data in as little as three days.

Sino Biological is offering wet-lab testing for AI-designed protein binders, with binding data available in as little as three days in applicable workflows, according to the company. The company announced the high-throughput service, called 4RISE, on Nov. 13.
The service is intended to check whether protein candidates designed with AI bind to their targets and to provide data for further analysis. In an earlier release on Nov. 10, the company described 4RISE as a way to move AI-designed molecules from computational predictions to experimental evidence.
From protein synthesis to binding data
The service uses Sino Biological’s XPressMAX cell-free protein synthesis platform to produce recombinant proteins. Sino Biological says the platform can synthesize proteins in three hours and has expression success rates exceeding 99% in established workflows.
The platform supports miniproteins, VHHs, scFvs, Fabs, enzymes and cytokines. The company says combining cell-free synthesis with its binding workflow can produce AI-ready data from a protein sequence in as little as three days; structured binding data are accessible in real time through an API.
For binding analysis, the service uses Carterra high-throughput SPR, Biacore SPR and Octet BLI. Those methods support binding screening, kinetic analysis and affinity determination for protein candidates.
The company says it has more than 11,000 ready-to-use target proteins. Its earlier release described complementary cell-free and mammalian expression platforms for different molecule types and expression requirements.
Four screening workflows
One workflow, Rapid Hit Discovery, screens crude supernatants to identify binding-positive miniproteins and VHHs. Comparative Binder Screening evaluates purified candidates under standardized conditions to support prioritization.
A third service, Affinity & Kinetic Characterization, provides quantitative binding information for lead selection. Specialized Binder Expression & Validation uses tailored mammalian expression and binding analysis for different binder formats.
Beyond binding, the service offers more than 20 developability assays, more than 1,000 protein bioactivity assays and more than 10 cell-based functional assays. These are intended to support further evaluation of candidates and design optimization.
Work with AI companies
Sino Biological works with AI companies on wet-lab validation for antibody discovery, de novo binder design and computational protein engineering. The company says its collaborations span more than 50 AI companies.
It also says 4RISE validation has supported studies published in Science, Nature Communications and Scientific Reports. Rob Burgess, chief business officer at Sino Biological US, said: “AI-designed molecules need reliable wet-lab experimental evidence to demonstrate their potential.”
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