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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324484 | PMC |
| http://dx.doi.org/10.1107/S2052252523004943 | DOI Listing |
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