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  1. .gitattributes +1 -0
  2. CHANGELOG.txt +107 -0
  3. README.txt +97 -0
  4. download_metadata.json +1 -0
  5. latest/UP000000429_85962_HELPY_v6.tar +3 -0
  6. latest/UP000000437_7955_DANRE_v6.tar +3 -0
  7. latest/UP000000535_242231_NEIG1_v6.tar +3 -0
  8. latest/UP000000559_237561_CANAL_v6.tar +3 -0
  9. latest/UP000000579_71421_HAEIN_v6.tar +3 -0
  10. latest/UP000000586_171101_STRR6_v6.tar +3 -0
  11. latest/UP000000589_10090_MOUSE_v6.tar +3 -0
  12. latest/UP000000625_83333_ECOLI_v6.tar +3 -0
  13. latest/UP000000799_192222_CAMJE_v6.tar +3 -0
  14. latest/UP000000803_7227_DROME_v6.tar +3 -0
  15. latest/UP000000805_243232_METJA_v6.tar +3 -0
  16. latest/UP000000806_272631_MYCLE_v6.tar +3 -0
  17. latest/UP000001014_99287_SALTY_v6.tar +3 -0
  18. latest/UP000001450_36329_PLAF7_v6.tar +3 -0
  19. latest/UP000001584_83332_MYCTU_v6.tar +3 -0
  20. latest/UP000001631_447093_AJECG_v6.tar +3 -0
  21. latest/UP000001940_6239_CAEEL_v6.tar +3 -0
  22. latest/UP000002059_502779_PARBA_v6.tar +3 -0
  23. latest/UP000002195_44689_DICDI_v6.tar +3 -0
  24. latest/UP000002296_353153_TRYCC_v6.tar +3 -0
  25. latest/UP000002311_559292_YEAST_v6.tar +3 -0
  26. latest/UP000002438_208964_PSEAE_v6.tar +3 -0
  27. latest/UP000002485_284812_SCHPO_v6.tar +3 -0
  28. latest/UP000002494_10116_RAT_v6.tar +3 -0
  29. latest/UP000002716_300267_SHIDS_v6.tar +3 -0
  30. latest/UP000005640_9606_HUMAN_v6.tar +3 -0
  31. latest/UP000006304_1133849_9NOCA1_v6.tar +3 -0
  32. latest/UP000006548_3702_ARATH_v6.tar +3 -0
  33. latest/UP000006672_6279_BRUMA_v6.tar +3 -0
  34. latest/UP000007305_4577_MAIZE_v6.tar +3 -0
  35. latest/UP000007841_1125630_KLEPH_v6.tar +3 -0
  36. latest/UP000008153_5671_LEIIN_v6.tar +3 -0
  37. latest/UP000008524_185431_TRYB2_v6.tar +3 -0
  38. latest/UP000008816_93061_STAA8_v6.tar +3 -0
  39. latest/UP000008827_3847_SOYBN_v6.tar +3 -0
  40. latest/UP000008854_6183_SCHMA_v6.tar +3 -0
  41. latest/UP000018087_1391915_SPOS1_v6.tar +3 -0
  42. latest/UP000024404_6282_ONCVO_v6.tar +3 -0
  43. latest/UP000030665_36087_TRITR_v6.tar +3 -0
  44. latest/UP000035681_6248_STRER_v6.tar +3 -0
  45. latest/UP000053029_1442368_9EURO2_v6.tar +3 -0
  46. latest/UP000059680_39947_ORYSJ_v6.tar +3 -0
  47. latest/UP000078237_100816_9PEZI1_v6.tar +3 -0
  48. latest/UP000094526_86049_9EURO1_v6.tar +3 -0
  49. latest/UP000270924_6293_WUCBA_v6.tar +3 -0
  50. latest/UP000274756_318479_DRAME_v6.tar +3 -0
.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ latest/msa_depths.csv filter=lfs diff=lfs merge=lfs -text
CHANGELOG.txt ADDED
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1
+ # AlphaFold Protein Structure Database Changelog
2
+
3
+ ## 2025-09-15
4
+ * Updated to UniProt 2025_03.
5
+ * Added 40,054 isoform sequences together with corresponding metadata.
6
+ * Added new metadata fields to all sequences: authorNames, groupName,
7
+ proteinFullNames, taxonomicClassification, keywords, functions,
8
+ catalyticActivities.
9
+ * Added Multiple Sequence Alignment (MSA) in the A3M format to all structures in
10
+ the database. This MSA was used as the input to the AlphaFold 2 model. This is
11
+ accompanied by msa_depths.csv which lists the MSA depth for each entry.
12
+ * 241,070,489 structures
13
+ * Differences in the number of proteins since v4:
14
+ * Added: 65,711,653 (including isoforms)
15
+ * Removed: 39,324,993
16
+ * Changed: 276,539
17
+ * Unchanged: 175,082,297
18
+
19
+
20
+ ### Changes
21
+ * CIF: Occupancy now uses 2 decimal digits instead of 1.
22
+ * CIF: Fixed global pLDDT `_ma_qa_metric_global.metric_value` to be computed as
23
+ a per-residue average, not per-atom.
24
+ * CIF: `_citation_author.citation_id` now uses "primary" instead of "1".
25
+
26
+ ## 2022-11-01
27
+ * Improved prediction accuracy of about 4.4% of predictions
28
+ * 214,686,924 structures
29
+
30
+ ### Changes
31
+ * CIF: `_citation.id` now uses `primary` instead of `1`.
32
+ * Structures with consecutive CA-CA distance > 10 A are now filtered out.
33
+ * The list of 9,203,041 accessions with updated coordinates in this release is
34
+ in `v4/v4_updated_accessions.txt`.
35
+ * A sharded tar file with structures with updated coordinates in this release is
36
+ in `v4/updated_entries/v4_updated_entries-*.tar`. There are 921 shards
37
+ (from 0 to 920), each with at most 10,000 structures.
38
+
39
+ ## 2022-07-28
40
+ * Added UniProt 2021_04
41
+ * All CIF files are now ModelCIF-compliant
42
+ * New PAE format that is about 4x smaller than the old one
43
+ * 214,687,406 structures
44
+
45
+ ### Changes
46
+ * CIF: Added support for templates (added `_ma_template_ref_db_details`,
47
+ `_ma_template_details`, `_ma_template_trans_matrix`, updated `_ma_data`).
48
+ * CIF: Added `_pdbx_poly_seq_scheme.pdb_mon_id`, set to the same value as
49
+ `_pdbx_poly_seq_scheme.mon_id`.
50
+ * CIF: Updated `_database_2.database_id` from `AF` to `AlphaFoldDB`
51
+ (new standardized value).
52
+ * CIF: Updated `_ma_qa_metric.type` from `other` to `pLDDT` (new standardized
53
+ value).
54
+ * CIF: Moved the legal disclaimer from `_ma_data.content_type_other_details` to
55
+ `_pdbx_data_usage` and added link to the license file.
56
+ * CIF: Fixed `_ma_qa_metric_local.ordinal_id`, now going from 1 to `num_res`
57
+ instead of having constant value of 1.
58
+ * CIF: Fixed `_pdbx_audit_revision_details`, now containing the full revision
59
+ history instead of just the last revision.
60
+ * CIF: Added the `_ma_protocol_step` table.
61
+ * CIF: `_audit_conform.dict_name` is now `mmcif_ma.dic` (previously
62
+ `mmcif_af.dic`).
63
+ * CIF: `_audit_conform.dict_version` is now `1.3.9` (previously `1.0.2`).
64
+ * CIF: Updated `_audit_conform.dict_location` to
65
+ `https://raw.githubusercontent.com/ihmwg/ModelCIF/master/dist/mmcif_ma.dic`.
66
+ * PAE: New format that removes redundant `residue1` and `residue2` fields,
67
+ renames the `distance` field to `predicted_aligned_error` and stores the PAE
68
+ values rounded to the closest integer in a 2D matrix.
69
+ * FTP: Renamed accession_ids.txt to accession_ids.csv.
70
+ * FTP: The FASTA file now includes protein name, UniProt accession, UniProt
71
+ identifier, organism name, organism identifier, and gene name (if known).
72
+
73
+ ## 2022-01-27
74
+ * Added Global Health Organisms
75
+ * 995,411 structures
76
+
77
+ ### Changes
78
+ * No format changes
79
+
80
+ ## 2021-12-09
81
+ * Added Swiss-Prot
82
+ * 804,872 structures
83
+
84
+ ### Changes
85
+ * CIF: Added the `_pdbx_poly_seq_scheme` table.
86
+ * CIF: DSSP now writes correct `beg_auth_seq_id` and `end_auth_seq_id`.
87
+ * CIF: Updated Nature paper citation information.
88
+ * CIF: Changed the model name from "AlphaFold model" to
89
+ "AlphaFold Monomer v2.0 model".
90
+ * CIF: Updated the `_af_target_ref_db_details` table to match the ModelCIF
91
+ specification.
92
+ * CIF: Updated `_audit_conform.dict_location` to point to the AFDB-specific
93
+ dictionary.
94
+ * CIF: Added missing field `_struct_ref.pdbx_align_end`.
95
+ * PDB: Fixed the `CRYST1` record to set also `Z = 1`.
96
+ * PDB: Models are now indexed from 1 instead of from 0.
97
+ * PDB: Updated Nature paper citation information.
98
+ * PDB: Changed the model in TITLE from "ALPHAFOLD V2.0" to
99
+ "ALPHAFOLD MONOMER V2.0".
100
+ * PAE: Colour normalization now has the same min (0.0) and max (31.75) for all
101
+ structures.
102
+ * FTP: archives now contain version suffix which is set based on the maximum
103
+ version of any file in an archive.
104
+
105
+ ## 2021-07-22
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+ * Initial release of 21 model organisms
107
+ * 365,198 structures
README.txt ADDED
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1
+ ALPHAFOLD DATABASE FTP README
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+
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+ This document describes the types of files available from the AlphaFold DB FTP
4
+ area at http://ftp.ebi.ac.uk/pub/databases/alphafold/.
5
+
6
+ 1.) download_metadata.json
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+ This file contains a list of all the archive files available for bulk download.
8
+ The file is in JSON format and contains a list of objects with the following
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+ fields:
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+
11
+ * archive_name: The name of the archive file,
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+ e.g. "UP000006548_3702_ARATH_v2.tar", string, required
13
+ * num_predicted_structures: The count of predicted structures in the archive,
14
+ e.g. 27434, number, required
15
+ * size_bytes: The size of the archive file in bytes,
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+ e.g. 3855707136, number, required
17
+ * type: The type/category of the archive file, e.g. "proteome", string, required
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+ * species: The scientific name of the corresponding species,
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+ e.g. "Homo sapiens", string, optional
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+ * common_name: A common name of the corresponding species,
21
+ e.g. "Human", string, optional
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+ * latin_common_name: Indicates if the common name is in Latin,
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+ e.g. true, boolean, optional
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+ * reference_proteome: The identifier of the reference proteome,
25
+ e.g. "UP000006548", string, optional
26
+ * label: A label for the archive file,
27
+ e.g. "Swiss-Prot (CIF files)", string, optional
28
+
29
+ 2.) accession_ids.csv
30
+ This file contains a list of all the UniProt accessions that have predictions in
31
+ the current database version of AlphaFold DB. The file is in CSV format and
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+ includes the following columns, separated by a comma:
33
+
34
+ * UniProt accession, e.g. A8H2R3
35
+ * First residue index (UniProt numbering), e.g. 1
36
+ * Last residue index (UniProt numbering), e.g. 199
37
+ * AlphaFold DB identifier, e.g. AF-A8H2R3-F1
38
+ * Latest version, e.g. 2
39
+
40
+ 3.) msa_depths.csv
41
+ This file contains Multiple Sequence Alignment (MSA) depths for every entry in
42
+ the database. These depths correspond to the MSA files that have been given as
43
+ an input to AlphaFold to generate the structure prediction. The file is in CSV
44
+ format and includes the following columns, separated by a comma:
45
+
46
+ * AFDB accession, e.g. AF-A8H2R3-F1
47
+ * Multiple Sequence Alignment (MSA) depth, e.g. 1989. This is the number of
48
+ sequences in the MSA file.
49
+
50
+ 4.) sequences.fasta
51
+ This file contains sequences for all proteins in the current database version in
52
+ FASTA format.
53
+
54
+ The format for the identifier row is:
55
+ >AFDB:UniqueIdentifier ProteinName UA=UniprotAccession UI=UniprotIdentifier
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+ OS=OrganismName OX=OrganismIdentifier [GN=GeneName]
57
+ For example:
58
+ >AFDB:AF-Q5VSL9-F1 Striatin-interacting protein 1 UA=Q5VSL9 UI=Q5VSL9
59
+ OS=Homo Sapiens OX=9606 GN=STRIP1
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+
61
+ The fields in the identifier row match UniProt fields described in
62
+ https://www.uniprot.org/help/fasta-headers. The GN=GeneName field is optional
63
+ and provided only if known.
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+
65
+ The sequence row contains the corresponding amino acid sequence. Each sequence
66
+ is on a single line, i.e. there is no wrapping.
67
+
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+ 5.) *.tar
69
+ These files are organised into several folders. The folder “latest” contains the
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+ latest version of the archive files, while v* folders (e.g. v1, v2, etc.) have
71
+ the corresponding versions of the archive files.
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+
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+ The archive files are TAR archives of GZIP compressed files for atomic
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+ coordinate data in PDB and mmCIF formats.
75
+
76
+ 6.) diffs.ndjson.gz
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+ This file lists entries that were added, removed, or changed in the current
78
+ database version. The file is newline-delimited JSON (NDJSON) compressed with
79
+ gzip. Each line is a single record with the following fields:
80
+
81
+ id: AlphaFold DB identifier, e.g. "AF-Q5VSL9-F1", string, required
82
+
83
+ status: Change type, one of "ADDED", "REMOVED", "CHANGED", string, required
84
+
85
+ ref_len: Sequence length in the previous release, number, optional (only
86
+ for "CHANGED")
87
+
88
+ cmp_len: Sequence length in the current release, number, optional (only
89
+ for "CHANGED")
90
+
91
+ Example (one record per line):
92
+ {"id":"AF-A0A016SDI7-F1","status":"ADDED"}
93
+ {"id":"AF-A0A009DWB1-F1","status":"REMOVED"}
94
+ {"id":"AF-A0A017SPL2-F1","status":"CHANGED","ref_len":408,"cmp_len":409}
95
+
96
+ Note: This file is the canonical per-release diff. It can be streamed and
97
+ filtered with standard tools (e.g. zcat, jq).
download_metadata.json ADDED
@@ -0,0 +1 @@
 
 
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+ [{"archive_name": "UP000006548_3702_ARATH_v6.tar", "species": "Arabidopsis thaliana", "common_name": "Arabidopsis", "latin_common_name": true, "reference_proteome": "UP000006548", "num_predicted_structures": 27402, "size_bytes": 3877400576, "type": "proteome"}, {"archive_name": "UP000001940_6239_CAEEL_v6.tar", "species": "Caenorhabditis elegans", "common_name": "Nematode worm", "latin_common_name": false, "reference_proteome": "UP000001940", "num_predicted_structures": 19700, "size_bytes": 2777489920, "type": "proteome"}, {"archive_name": "UP000000559_237561_CANAL_v6.tar", "species": "Candida albicans", "common_name": "C. albicans", "latin_common_name": true, "reference_proteome": "UP000000559", "num_predicted_structures": 5973, "size_bytes": 1028541440, "type": "proteome"}, {"archive_name": "UP000000437_7955_DANRE_v6.tar", "species": "Danio rerio", "common_name": "Zebrafish", "latin_common_name": false, "reference_proteome": "UP000000437", "num_predicted_structures": 26290, "size_bytes": 4979466752, "type": "proteome"}, {"archive_name": "UP000002195_44689_DICDI_v6.tar", "species": "Dictyostelium discoideum", "common_name": "Dictyostelium", "latin_common_name": true, "reference_proteome": "UP000002195", "num_predicted_structures": 12612, "size_bytes": 2292386816, "type": "proteome"}, {"archive_name": "UP000000803_7227_DROME_v6.tar", "species": "Drosophila melanogaster", "common_name": "Fruit fly", "latin_common_name": false, "reference_proteome": "UP000000803", "num_predicted_structures": 13461, "size_bytes": 2319755776, "type": "proteome"}, {"archive_name": "UP000000625_83333_ECOLI_v6.tar", "species": "Escherichia coli", "common_name": "E. coli", "latin_common_name": true, "reference_proteome": "UP000000625", "num_predicted_structures": 4370, "size_bytes": 477871104, "type": "proteome"}, {"archive_name": "UP000008827_3847_SOYBN_v6.tar", "species": "Glycine max", "common_name": "Soybean", "latin_common_name": false, "reference_proteome": "UP000008827", "num_predicted_structures": 55796, "size_bytes": 7616606720, "type": "proteome"}, {"archive_name": "UP000005640_9606_HUMAN_v6.tar", "species": "Homo sapiens", "common_name": "Human", "latin_common_name": false, "reference_proteome": "UP000005640", "num_predicted_structures": 23586, "size_bytes": 5177506304, "type": "proteome"}, {"archive_name": "UP000000805_243232_METJA_v6.tar", "species": "Methanocaldococcus jannaschii", "common_name": "M. jannaschii", "latin_common_name": true, "reference_proteome": "UP000000805", "num_predicted_structures": 1773, "size_bytes": 181713920, "type": "proteome"}, {"archive_name": "UP000000589_10090_MOUSE_v6.tar", "species": "Mus musculus", "common_name": "Mouse", "latin_common_name": false, "reference_proteome": "UP000000589", "num_predicted_structures": 21452, "size_bytes": 3782078976, "type": "proteome"}, {"archive_name": "UP000059680_39947_ORYSJ_v6.tar", "species": "Oryza sativa", "common_name": "Asian rice", "latin_common_name": false, "reference_proteome": "UP000059680", "num_predicted_structures": 43645, "size_bytes": 4723294720, "type": "proteome"}, {"archive_name": "UP000002494_10116_RAT_v6.tar", "species": "Rattus norvegicus", "common_name": "Rat", "latin_common_name": false, "reference_proteome": "UP000002494", "num_predicted_structures": 22152, "size_bytes": 3776509440, "type": "proteome"}, {"archive_name": "UP000002311_559292_YEAST_v6.tar", "species": "Saccharomyces cerevisiae", "common_name": "Budding yeast", "latin_common_name": false, "reference_proteome": "UP000002311", "num_predicted_structures": 6055, "size_bytes": 1024019456, "type": "proteome"}, {"archive_name": "UP000002485_284812_SCHPO_v6.tar", "species": "Schizosaccharomyces pombe", "common_name": "Fission yeast", "latin_common_name": false, "reference_proteome": "UP000002485", "num_predicted_structures": 5196, "size_bytes": 840982016, "type": "proteome"}, {"archive_name": "UP000007305_4577_MAIZE_v6.tar", "species": "Zea mays", "common_name": "Maize", "latin_common_name": false, "reference_proteome": "UP000007305", "num_predicted_structures": 39139, "size_bytes": 5023941632, "type": "proteome"}, {"archive_name": "UP000001631_447093_AJECG_v6.tar", "species": "Ajellomyces capsulatus", "common_name": "Ajellomyces capsulatus", "latin_common_name": false, "reference_proteome": "UP000001631", "num_predicted_structures": 9199, "size_bytes": 1428343296, "type": "global_health"}, {"archive_name": "UP000006672_6279_BRUMA_v6.tar", "species": "Brugia malayi", "common_name": "Brugia malayi", "latin_common_name": false, "reference_proteome": "UP000006672", "num_predicted_structures": 10972, "size_bytes": 1713548288, "type": "global_health"}, {"archive_name": "UP000000799_192222_CAMJE_v6.tar", "species": "Campylobacter jejuni", "common_name": "C. jejuni", "latin_common_name": true, "reference_proteome": "UP000000799", "num_predicted_structures": 1620, "size_bytes": 182684672, "type": "global_health"}, {"archive_name": 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