Researchers have demonstrated a novel AI model that can predict which DNA molecules bind with which other DNA molecules. Providing a more thorough understanding of these hypercomplex binding relationships has utility in applications ranging from biomedical diagnostic tools to DNA computing.

“We often think about binding as a very simple relationship – Molecule A binds to Molecule B,” says the co-corresponding author of the study. “But in biological systems, it’s far from simple. Molecule A may bind to dozens of other molecules, to varying degrees.

Capturing that hypercomplexity is a significant challenge, but it is critical if we want to better understand natural genetic systems, says the author. And capturing that hypercomplexity is also critical if we want to develop tools that make full use of biomolecules, such as diagnostic tools that are sensitive to genetic differences or DNA computing systems that rely on DNA to store and retrieve data.