AI analysis of nanoribbon assembly reveals protein design principles

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers should consider incorporating physical forces now missing from even Nobel-prize-winning protein design algorithms. The results, published in Nature Communications, also demonstrate that AI and machine learning have evolved to become essential tools for analyzing complex datasets to produce meaningful results.