DescriptionAlphaFold2's results at the biennial, independently organized CASP14 competition in late 2020 were widely described by structural biologists as effectively solving the decades-old protein structure prediction problem for the majority of protein targets, achieving atomic-level accuracy competitive with experimental methods like X-ray crystallography for most cases. DeepMind and EMBL-EBI subsequently released predicted structures for nearly all catalogued proteins known to science via the AlphaFold Protein Structure Database.
Formal questionDeepMind's AlphaFold2 achieved a median GDT_TS score of 92.4 across the CASP14 (Critical Assessment of protein Structure Prediction) benchmark targets in 2020, within the margin of error of experimentally determined structures, on a problem that had resisted computational solution for roughly 50 years.
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