2021
DOI: 10.1093/nar/gkab1061
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AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

Abstract: The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions. Powered by AlphaFold v2.0 of DeepMind, it has enabled an unprecedented expansion of the structural coverage of the known protein-sequence space. AlphaFold DB provides programmatic access to and interactive visualization of predicted atomic coordinates, per-residue and pairwise model-confidence estimates and predicted aligned errors. The… Show more

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Cited by 5,583 publications
(5,129 citation statements)
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References 20 publications
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“…Another 17% of the protein contains turns, 30% β-sheets, and 8% α-helices. Interestingly, secondary structure prediction methods as well as AlphaFold predict α-helices for the ordered CKAP2 segments ( Varadi et al, 2022 ). In contrast, our CD data predominantly show β-sheets as the main secondary structure element for CKAP2 in solution.…”
Section: Resultsmentioning
confidence: 99%
“…Another 17% of the protein contains turns, 30% β-sheets, and 8% α-helices. Interestingly, secondary structure prediction methods as well as AlphaFold predict α-helices for the ordered CKAP2 segments ( Varadi et al, 2022 ). In contrast, our CD data predominantly show β-sheets as the main secondary structure element for CKAP2 in solution.…”
Section: Resultsmentioning
confidence: 99%
“…After its dramatic emergence at the most recent CASP competition ( 28 ) the AlphaFold 2 (AF2) software for protein structure prediction was quickly published ( 29 ) released open source ( https://github.com/deepmind/alphafold ) and applied to the complete human proteome ( 30 ). Shortly after, the AlphaFold Protein Structure Database, described here ( 31 ), was released and covers 21 proteomes. The high-quality predicted structures in the database, projected to ultimately cover UniRef90 ( 32 ) protein sequence space, provide a treasure chest of information across all aspects of biology.…”
Section: New and Updated Databasesmentioning
confidence: 99%
“…This progress resulted in structure predictions for many integral membrane proteins such as hNTCP (Sequence Nr. : AF-Q14973-F1) allowing deeper understanding of protein folding, as well as the role of particular amino acids for molecule function and interactions ( Figure 2 ) [ 30 , 32 ].…”
Section: Ntcp: Structure and Transport Activitymentioning
confidence: 99%