Zhejiang University team develops AI-designed proteins capable of regulating key cell receptors linked to major illnesses
A team of scientists at Zhejiang University in Hangzhou has achieved a major breakthrough in protein engineering, developing artificial proteins capable of regulating critical cell receptors associated with a wide range of diseases, including Parkinson’s.
According to China Daily, a partner of TV BRICS, the study demonstrates how researchers successfully designed synthetic proteins that can control the activity of G protein-coupled receptors (GPCRs), a large family of membrane proteins responsible for transmitting signals into cells and regulating essential physiological processes.
GPCRs play a central role in modern medicine, with more than 30 per cent of approved drugs worldwide targeting these receptors. Instead of targeting receptor activation alone, the research team adopted a fundamentally different approach by focusing on the structure of the receptors themselves. They engineered artificial transmembrane proteins, known as modulators, designed to attach to malfunctioning receptors and restore their function with greater precision.
Researchers liken this method to fitting a molecular-level prosthetic, effectively reinforcing or correcting defective biological structures. This strategy could provide longer-lasting and more robust therapeutic effects compared with traditional drug-based interventions.
As part of the study, the team used the dopamine D1 receptor as a model and successfully developed four modulators capable of restoring function in defective variants of the receptor.
The development process presented significant complexity due to the vast number of possible protein configurations. Designing a relatively small protein can involve an astronomical number of combinations, making traditional trial-and-error approaches impractical.
To overcome this, the researchers relied on advances in artificial intelligence, particularly generative models capable of designing entirely new proteins from scratch – a method known as de novo protein design. These tools allow scientists to create proteins that do not exist in nature with unprecedented speed and accuracy.
The team also developed an AI-guided system to analyse receptor structures and identify optimal binding sites. Using a method comparable to structured input prompts in AI systems, researchers generated highly specific modulators tailored to interact with target receptors.
Scientists say the findings could serve as a foundation for a new class of treatments targeting diseases caused by genetic mutations, offering a potential shift from symptom management to structural repair at the molecular level.
African Times published this article in partnership with International Media Network TV BRICS
