Exploring structural diversity across the protein universe with The Encyclopedia of Domains

The AlphaFold Protein Structure Database (AFDB) contains more than 214 million predicted protein structures composed of domains, which are independently folding units found in multiple structural and functional contexts. Identifying domains can enable many functional and evolutionary analyses but has remained challenging because of the sheer scale of the data. Using deep learning methods, we have detected and classified every domain in the AFDB, producing The Encyclopedia of Domains. We detected nearly 365 million domains, over 100 million more than can be found by sequence methods, covering more than 1 million taxa. Reassuringly, 77% of the nonredundant domains are similar to known superfamilies, greatly expanding representation of their domain space. We uncovered more than 10,000 new structural interactions between superfamilies and thousands of new folds across the fold space continuum.

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Publication Details

Journal
Science
Published
2024-10-31
DOI
https://doi.org/10.1126/science.adq4946
Citations
95
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
21.98

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article

Exploring structural diversity across the protein universe with The Encyclopedia of Domains

Shaun M. Kandathil, Jude Wells, Ian Sillitoe, Vaishali Waman et al.
95 citations
Science
Protein Structure and Dynamics
21.98
article

Exploring structural diversity across the protein universe with The Encyclopedia of Domains

Shaun M. Kandathil, Jude Wells, Ian Sillitoe, Vaishali Waman, Nicola Bordin, Christine Orengo, Andy M. Lau, David T. Jones
article en
95 citations

Abstract

The AlphaFold Protein Structure Database (AFDB) contains more than 214 million predicted protein structures composed of domains, which are independently folding units found in multiple structural and functional contexts. Identifying domains can enable many functional and evolutionary analyses but has remained challenging because of the sheer scale of the data. Using deep learning methods, we have detected and classified every domain in the AFDB, producing The Encyclopedia of Domains. We detected nearly 365 million domains, over 100 million more than can be found by sequence methods, covering more than 1 million taxa. Reassuringly, 77% of the nonredundant domains are similar to known superfamilies, greatly expanding representation of their domain space. We uncovered more than 10,000 new structural interactions between superfamilies and thousands of new folds across the fold space continuum.

ScienceVol. 386(6721)
Institute of Structural and Molecular Biology (GB), University College London (GB)
Medical Research Council, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 0%
Protein Structure and Dynamics
21.98
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