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  AlphaFold2 and the future of structural biology

Cramer, P. (2021). AlphaFold2 and the future of structural biology. Nature Structural and Molecular Biology, 28(9), 704-705. doi:10.1038/s41594-021-00650-1.

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Cramer, P.1, Author              
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1Department of Molecular Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1863498              

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Free keywords: Computational biology and bioinformatics; Structural biology
 Abstract: AlphaFold2 is a machine-learning algorithm for protein structure prediction that has now been used to obtain hundreds of thousands of protein models. The resulting resource is marvelous and will serve the community in many ways. Here I discuss the implications of this breakthrough achievement, which changes the way we do structural biology.

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Language(s): eng - English
 Dates: 2021-08-102021-09
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41594-021-00650-1
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Title: Nature Structural and Molecular Biology
Source Genre: Journal
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Pages: - Volume / Issue: 28 (9) Sequence Number: - Start / End Page: 704 - 705 Identifier: -