New AI Method for Protein Structure Prediction Handles All Kinds of Biologically Relevant Molecules

Author(s): LucianoSphere

Originally published on Towards AI.

Allowing scientists to predict their joint structures and to create new proteins designed to specifically bind defined molecules
Image composed by the author from Dall-E 2 generations and own-made illustrations.

Predicting the complex three-dimensional structures of proteins with high accuracy is no longer a dream, thanks to deep learning networks like AlphaFold2 and others that followed it. But proteins don’t work alone. They interact with other proteins, with DNA, RNA, and small molecules and ions of all kinds — all crucial to their biological function. These interactions have been a huge challenge to model, but that’s only until now, again, thanks to deep learning.

Presented in a preprint last week, the new software RoseTTAFold All-Atom (I’ll call it just RFAA)… Read the full blog for free on Medium.

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Published via Towards AI