This algorithm, based on graph representation learning ... to update the representations and spatial coordinates of amino acids and atoms accordingly. The second part is a pre-trained protein ...

Powerful machine-learning algorithms, including AlphaFold and RoseTTAFold ... it can predict the distances between amino ...

How can just four nitrogenous bases--adenine, cytosine, guanine, and uracil--possibly code for all 20 amino acids? Thus, early researchers quickly determined that the smallest combination of As ...

The machine-learning algorithm studies the structure of a ... accurate predictions of liquid-liquid phase separating proteins at single amino acid resolution, Genome Biology (2025).