A team at HHMI’s Janelia Research Campus, led by Alison Tebo and Srinivas Turaga, is pioneering AI tools to accelerate biosensor development. These sensors are essential for tracking cellular processes, but their design typically requires extensive time and varied protein modifications. By harnessing machine learning, the researchers intend to train AI models using both existing and novel biosensor data to predict molecular changes that enhance sensor functionality. This approach aims to streamline the development of biosensors, making it quicker and more efficient, thus meeting biologists’ evolving needs. Their initiative is part of AI@HHMI, a $500 million project promoting AI across scientific research. The ultimate goal is to create a user-friendly AI tool for the scientific community, enabling researchers to generate custom sensor solutions tailored to specific biological inquiries. The involvement of AI is expected to significantly reduce the time required to develop effective biosensors from years to mere months, fostering new scientific discoveries.
Source link
