# A platform to design and optimise fluorogenic scFvs for detection of interleukin 33

## TL;DR

This paper introduces a new platform to design and optimize biosensors for detecting interleukin-33, a protein involved in inflammation.

## Contribution

The novel contribution is a chemical platform combining protein labeling and deep-learning to optimize fluorogenic scFvs for IL-33 detection.

## Key findings

- The platform identified BS-7 as a biosensor for detecting human IL-33 in cell supernatants.
- The method enables wash-free detection, improving the efficiency of IL-33 measurement.

## Abstract

Direct measurement of interleukin-33 (IL-33) in biological systems is critical for understanding its role in inflammatory diseases. In this work, we have developed a platform for the discovery and optimisation of fluorogenic biosensors that are built from scFv protein scaffolds. Our approach combined site-specific fluorophore labelling and deep-learning protein design to identify BS-7 as a biosensor for wash-free detection of human IL-33 in cell supernatants.

We developed a chemical platform combining protein labelling and fluorophore identification to accelerate the optimisation of fluorogenic scFvs.