AI-Designed Proteins Work as Smart Biosensors, Study Shows

Artificial allosteric protein switches with machine-learning-designed receptors - Nature Biotechnology

Protein allostery underlies most information and energy processing in biology and the development of artificial allosteric proteins is a key objective of synthetic biology and biotechnology. We show that machine-learning-engineered minimal ligand-binding domains act as efficient receptors in single-component allosteric switches, despite lacking global conformational change. Such colorimetric, luminescent and electrochemical biosensors of small m…

Scientists uncover new method to generate protein datasets for training AI

Developing Artificial Protein Biosensors as Clinical Decision Support Systems for Heart Failure Detection

Mutschler, Roxane (2026) Developing Artificial Protein Biosensors as Clinical Decision Support Systems for Heart Failure Detection. PhD thesis, Queensland University of Technology.

Scientists Transform AI-Designed Proteins into Advanced Molecular Sensors

In a groundbreaking stride at the intersection of synthetic biology and artificial intelligence, a multinational research team spearheaded by Queensland University of Technology (QUT) scientists has engineered a novel class of “smart” proteins capable of switching on their functional activity exclusively upon encountering a pre-selected molecular target. This transformative innovation, detailed in the prestigious journal […]

AI-Engineered Proteins Become Smart Molecular Sensors

An international team led by researchers at QUT has used artificial intelligence to create tiny "smart" proteins that switch on only when they detect

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