Look who’s talking: decoding protein-protein dialogue using ChatGPT
Name of applicant
Albert Jelke Kooistra
Title
Associate Professor
Institution
University of Copenhagen
Amount
DKK 4,797,542
Year
2023
Type of grant
Semper Ardens: Accelerate
What?
Inside every cell of any organism, hundreds to thousands of distinct proteins are constantly interacting with each other. Together, this dialogue between proteins determine virtually every facet of cellular behaviour and function.
Why?
Despite the fundamental importance of these protein-protein interactions, we still do not fully understand this dialogue between proteins. Some of the open questions are: Which proteins are interacting which each other? How do they know who to interact with? How do they precisely interact with each other? And why do they interact with each other?
How?
The recent breakthroughs in large language models, such as the well-known example of ChatGPT, have astounded the world by its broad applicability and accurate interpretation of human and even programming languages. In this project, we are applying ChatGPT-like models to figure out which proteins are talking to each other and how.