Affiliation:
1. Google DeepMind, London N1C 4DN, United Kingdom
Abstract
Two years on from the initial release of AlphaFold, we have seen its widespread adoption as a structure prediction tool. Here, we discuss some of the latest work based on AlphaFold, with a particular focus on its use within the structural biology community. This encompasses use cases like speeding up structure determination itself, enabling new computational studies, and building new tools and workflows. We also look at the ongoing validation of AlphaFold, as its predictions continue to be compared against large numbers of experimental structures to further delineate the model’s capabilities and limitations.
Publisher
Proceedings of the National Academy of Sciences
Cited by
1 articles.
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