AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function

AlphaFold 2 (AF2) was the star of CASP14, the last biannual structure prediction experiment. Using novel deep learning, AF2 predicted the structures of many difficult protein targets at or near experimental resolution. Here, we present our perspective of why AF2 works and show that it is a very soph...

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Bibliographic Details
Published in:Journal of chemical information and modeling 2021-10, Vol.61 (10), p.4827-4831
Main Authors: Skolnick, Jeffrey, Gao, Mu, Zhou, Hongyi, Singh, Suresh
Format: Article
Language:English
Subjects:
Algorithms
Machine learning
Predictions
Proteins
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