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- W4382010573 abstract "This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology." @default.
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- W4382010573 date "2023-06-26" @default.
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- W4382010573 title "<i>AlphaFold</i> and the future of structural biology" @default.
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- W4382010573 doi "https://doi.org/10.1107/s2052252523004943" @default.
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