![]() ![]() The novelty of the program means "it's additionally being able to explore a much larger search space, which is really, really exciting," said McClain. "It was just incredibly interesting that the model was able to figure this out, even though it has never seen in the training data anything interacting with that target before." "Not only did change the kind of amino acids, but it made sure to point it in a way that it would still make the same interaction," said Meier. ![]() ![]() The discovery is analogous to how Google's DeepMind unit's AlphaGo was able to arrive at winning strategies in chess and Go that are different from how human grandmasters pursue the game.Īs Meier explains, "The model has figured out that there are certain interactions that are key to binding to the same epitope - it seems the model has learned spatially to place these amino acids in the same place, even though those amino acids might be in different places in the sequence. ![]()
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