ABOUT DISNET DATABASE

1. DISNET Database Information

The DISNET database integrates phenotypic and genetic-biological characteristics of diseases and information on drugs from several sources curated by experts and unstructured textual sources. For phenotypic characteristics, information is retrieved from Wikipedia, PubMed and MayoClinic and more are being added; for biological characteristics, information is retrieved from DisGeNet to obtain gene and protein data, WikiPathways to obtain metabolic pathways data and IntAct to obtain protein interaction data; and for drug information, PharmGKB is used, among others.

Currently available online and through the DISNET API is all the phenotypic knowledge processed and structured by our system. Biological characteristics and disease data are in the process of integration, soon these data will be incorporated.

DISNET is being supported by the project “DISNET (Creation and analysis of disease networks for drug repurposing from heterogeneous data sources applied to rare diseases)” under grant “RTI2018-094576-A-I00” from the Spanish Ministerio de Ciencia, Innovación y Universidades.

2. Knowledge Data Sources

Data in DISNET is retrieved from the following sources:

  1. wikipedia
  2. pubmed
  3. mayoclinic

3. Database Statistics
i. Statistic data on phenotypical layer
a) Snapshot by sources (92 snapshots)

  1. wikipedia (52 snapshots) arrow_downward
    1. 2018-02-01
    2. 2018-02-15
    3. 2018-03-01
    4. 2018-03-15
    5. 2018-04-01
    6. 2018-04-15
    7. 2018-05-01
    8. 2018-05-15
    9. 2018-06-01
    10. 2018-06-15
    11. 2018-07-01
    12. 2018-07-15
    13. 2018-08-01
    14. 2018-08-15
    15. 2018-09-01
    16. 2018-09-15
    17. 2018-10-01
    18. 2018-10-15
    19. 2018-11-01
    20. 2018-11-15
    21. 2018-12-01
    22. 2018-12-15
    23. 2019-01-01
    24. 2019-01-15
    25. 2019-02-01
    26. 2019-02-15
    27. 2019-03-01
    28. 2019-03-15
    29. 2019-04-01
    30. 2019-04-15
    31. 2019-05-01
    32. 2019-05-15
    33. 2019-06-01
    34. 2019-06-15
    35. 2019-07-01
    36. 2019-07-15
    37. 2019-08-01
    38. 2019-08-15
    39. 2019-09-01
    40. 2019-09-15
    41. 2019-10-01
    42. 2019-10-15
    43. 2019-11-01
    44. 2019-11-15
    45. 2019-12-01
    46. 2019-12-15
    47. 2020-01-01
    48. 2020-01-15
    49. 2020-02-01
    50. 2020-02-15
    51. 2020-03-01
    52. 2020-03-15
  2. pubmed (1 snapshots) arrow_downward
    1. 2018-04-03
  3. mayoclinic (39 snapshots) arrow_downward
    1. 2018-08-15
    2. 2018-09-01
    3. 2018-09-15
    4. 2018-10-01
    5. 2018-10-15
    6. 2018-11-01
    7. 2018-11-15
    8. 2018-12-01
    9. 2018-12-15
    10. 2019-01-01
    11. 2019-01-15
    12. 2019-02-01
    13. 2019-02-15
    14. 2019-03-01
    15. 2019-03-15
    16. 2019-04-01
    17. 2019-04-15
    18. 2019-05-01
    19. 2019-05-15
    20. 2019-06-01
    21. 2019-06-15
    22. 2019-07-01
    23. 2019-07-15
    24. 2019-08-01
    25. 2019-08-15
    26. 2019-09-01
    27. 2019-09-15
    28. 2019-10-01
    29. 2019-10-15
    30. 2019-11-01
    31. 2019-11-15
    32. 2019-12-01
    33. 2019-12-15
    34. 2020-01-01
    35. 2020-01-15
    36. 2020-02-01
    37. 2020-02-15
    38. 2020-03-01
    39. 2020-03-15

b) Diseases by source and snapshot

  1. wikipedia arrow_downward
    1. 2018-02-013623 of  5536 extracted diseases.
    2. 2018-02-153629 of  5537 extracted diseases.
    3. 2018-03-013634 of  5536 extracted diseases.
    4. 2018-03-153642 of  5536 extracted diseases.
    5. 2018-04-013838 of  5840 extracted diseases.
    6. 2018-04-153843 of  5841 extracted diseases.
    7. 2018-05-013857 of  5843 extracted diseases.
    8. 2018-05-153868 of  5843 extracted diseases.
    9. 2018-06-014044 of  5854 extracted diseases.
    10. 2018-06-154058 of  5856 extracted diseases.
    11. 2018-07-014059 of  5855 extracted diseases.
    12. 2018-07-154066 of  5858 extracted diseases.
    13. 2018-08-014080 of  5859 extracted diseases.
    14. 2018-08-154084 of  5861 extracted diseases.
    15. 2018-09-014087 of  5862 extracted diseases.
    16. 2018-09-154088 of  5862 extracted diseases.
    17. 2018-10-014090 of  5861 extracted diseases.
    18. 2018-10-154094 of  5861 extracted diseases.
    19. 2018-11-014098 of  5859 extracted diseases.
    20. 2018-11-154103 of  5858 extracted diseases.
    21. 2018-12-014108 of  5855 extracted diseases.
    22. 2018-12-154116 of  5860 extracted diseases.
    23. 2019-01-014125 of  5860 extracted diseases.
    24. 2019-01-154136 of  5872 extracted diseases.
    25. 2019-02-014689 of  6714 extracted diseases.
    26. 2019-02-154703 of  6648 extracted diseases.
    27. 2019-03-014737 of  6685 extracted diseases.
    28. 2019-03-154743 of  6692 extracted diseases.
    29. 2019-04-014323 of  6043 extracted diseases.
    30. 2019-04-154766 of  6733 extracted diseases.
    31. 2019-05-014771 of  6739 extracted diseases.
    32. 2019-05-154772 of  6769 extracted diseases.
    33. 2019-06-014782 of  6780 extracted diseases.
    34. 2019-06-154784 of  6802 extracted diseases.
    35. 2019-07-014804 of  6842 extracted diseases.
    36. 2019-07-154802 of  6846 extracted diseases.
    37. 2019-08-014813 of  6853 extracted diseases.
    38. 2019-08-155104 of  8078 extracted diseases.
    39. 2019-09-015108 of  8085 extracted diseases.
    40. 2019-09-155130 of  8121 extracted diseases.
    41. 2019-10-015219 of  8288 extracted diseases.
    42. 2019-10-155227 of  8291 extracted diseases.
    43. 2019-11-015247 of  8303 extracted diseases.
    44. 2019-11-155252 of  8309 extracted diseases.
    45. 2019-12-015128 of  8118 extracted diseases.
    46. 2019-12-155475 of  9019 extracted diseases.
    47. 2020-01-015404 of  9112 extracted diseases.
    48. 2020-01-155554 of  9107 extracted diseases.
    49. 2020-02-015561 of  9108 extracted diseases.
    50. 2020-02-155510 of  9029 extracted diseases.
    51. 2020-03-015568 of  9108 extracted diseases.
    52. 2020-03-150 of  8855 extracted diseases.
  2. pubmed arrow_downward
    1. 2018-04-032212 of  2355 extracted diseases.
  3. mayoclinic arrow_downward
    1. 2018-08-151083 of  1176 extracted diseases.
    2. 2018-09-011083 of  1176 extracted diseases.
    3. 2018-09-151084 of  1176 extracted diseases.
    4. 2018-10-011086 of  1176 extracted diseases.
    5. 2018-10-151086 of  1176 extracted diseases.
    6. 2018-11-011087 of  1176 extracted diseases.
    7. 2018-11-151089 of  1176 extracted diseases.
    8. 2018-12-011091 of  1177 extracted diseases.
    9. 2018-12-151105 of  1179 extracted diseases.
    10. 2019-01-011114 of  1180 extracted diseases.
    11. 2019-01-151115 of  1180 extracted diseases.
    12. 2019-02-011116 of  1180 extracted diseases.
    13. 2019-02-151117 of  1180 extracted diseases.
    14. 2019-03-011118 of  1180 extracted diseases.
    15. 2019-03-151118 of  1180 extracted diseases.
    16. 2019-04-011119 of  1180 extracted diseases.
    17. 2019-04-151119 of  1180 extracted diseases.
    18. 2019-05-011119 of  1180 extracted diseases.
    19. 2019-05-151119 of  1180 extracted diseases.
    20. 2019-06-011119 of  1180 extracted diseases.
    21. 2019-06-151119 of  1180 extracted diseases.
    22. 2019-07-011119 of  1180 extracted diseases.
    23. 2019-07-15883 of  1032 extracted diseases.
    24. 2019-08-011120 of  1181 extracted diseases.
    25. 2019-08-151121 of  1181 extracted diseases.
    26. 2019-09-011122 of  1181 extracted diseases.
    27. 2019-09-151123 of  1181 extracted diseases.
    28. 2019-10-011123 of  1181 extracted diseases.
    29. 2019-10-151123 of  1181 extracted diseases.
    30. 2019-11-011125 of  1181 extracted diseases.
    31. 2019-11-151124 of  1181 extracted diseases.
    32. 2019-12-011124 of  1181 extracted diseases.
    33. 2019-12-151126 of  1182 extracted diseases.
    34. 2020-01-010 of  1182 extracted diseases.
    35. 2020-01-150 of  1182 extracted diseases.
    36. 2020-02-010 of  1182 extracted diseases.
    37. 2020-02-150 of  1183 extracted diseases.
    38. 2020-03-010 of  1183 extracted diseases.
    39. 2020-03-150 of  1183 extracted diseases.

c) Validated medical terms by source and snapshot

  1. wikipedia arrow_downward
    1. 2018-02-011933 of  13362 extracted diseases.
    2. 2018-02-151935 of  13386 extracted diseases.
    3. 2018-03-011938 of  13423 extracted diseases.
    4. 2018-03-151943 of  13460 extracted diseases.
    5. 2018-04-011950 of  13637 extracted diseases.
    6. 2018-04-151951 of  13647 extracted diseases.
    7. 2018-05-011955 of  13669 extracted diseases.
    8. 2018-05-151956 of  13726 extracted diseases.
    9. 2018-06-011965 of  13886 extracted diseases.
    10. 2018-06-151969 of  14203 extracted diseases.
    11. 2018-07-011971 of  14014 extracted diseases.
    12. 2018-07-151973 of  14030 extracted diseases.
    13. 2018-08-011974 of  14052 extracted diseases.
    14. 2018-08-151975 of  14058 extracted diseases.
    15. 2018-09-011975 of  14061 extracted diseases.
    16. 2018-09-151974 of  14061 extracted diseases.
    17. 2018-10-011974 of  14071 extracted diseases.
    18. 2018-10-151974 of  14089 extracted diseases.
    19. 2018-11-011971 of  14103 extracted diseases.
    20. 2018-11-151973 of  14128 extracted diseases.
    21. 2018-12-011977 of  14179 extracted diseases.
    22. 2018-12-151979 of  14198 extracted diseases.
    23. 2019-01-011982 of  14221 extracted diseases.
    24. 2019-01-151982 of  14224 extracted diseases.
    25. 2019-02-012010 of  14760 extracted diseases.
    26. 2019-02-152010 of  14763 extracted diseases.
    27. 2019-03-012012 of  14894 extracted diseases.
    28. 2019-03-152014 of  14916 extracted diseases.
    29. 2019-04-012001 of  14582 extracted diseases.
    30. 2019-04-152019 of  14975 extracted diseases.
    31. 2019-05-012021 of  15005 extracted diseases.
    32. 2019-05-152023 of  15026 extracted diseases.
    33. 2019-06-012024 of  15066 extracted diseases.
    34. 2019-06-152025 of  15085 extracted diseases.
    35. 2019-07-012027 of  15140 extracted diseases.
    36. 2019-07-152027 of  15154 extracted diseases.
    37. 2019-08-012027 of  15177 extracted diseases.
    38. 2019-08-152049 of  15732 extracted diseases.
    39. 2019-09-012049 of  15752 extracted diseases.
    40. 2019-09-152051 of  15781 extracted diseases.
    41. 2019-10-012053 of  15852 extracted diseases.
    42. 2019-10-152053 of  15856 extracted diseases.
    43. 2019-11-012049 of  15869 extracted diseases.
    44. 2019-11-152050 of  15891 extracted diseases.
    45. 2019-12-012048 of  15795 extracted diseases.
    46. 2019-12-152055 of  15974 extracted diseases.
    47. 2020-01-012043 of  15375 extracted diseases.
    48. 2020-01-152060 of  16078 extracted diseases.
    49. 2020-02-012062 of  16111 extracted diseases.
    50. 2020-02-152060 of  16076 extracted diseases.
    51. 2020-03-012060 of  16121 extracted diseases.
    52. 2020-03-150 of  0 extracted diseases.
  2. pubmed arrow_downward
    1. 2018-04-032043 of  22521 extracted diseases.
  3. mayoclinic arrow_downward
    1. 2018-08-151066 of  4196 extracted diseases.
    2. 2018-09-011064 of  4187 extracted diseases.
    3. 2018-09-151064 of  4185 extracted diseases.
    4. 2018-10-011066 of  4190 extracted diseases.
    5. 2018-10-151068 of  4190 extracted diseases.
    6. 2018-11-011067 of  4186 extracted diseases.
    7. 2018-11-151067 of  4185 extracted diseases.
    8. 2018-12-011068 of  4186 extracted diseases.
    9. 2018-12-151069 of  4219 extracted diseases.
    10. 2019-01-011072 of  4226 extracted diseases.
    11. 2019-01-151072 of  4227 extracted diseases.
    12. 2019-02-011071 of  4224 extracted diseases.
    13. 2019-02-151072 of  4227 extracted diseases.
    14. 2019-03-011071 of  4226 extracted diseases.
    15. 2019-03-151071 of  4224 extracted diseases.
    16. 2019-04-011071 of  4224 extracted diseases.
    17. 2019-04-151071 of  4223 extracted diseases.
    18. 2019-05-011072 of  4227 extracted diseases.
    19. 2019-05-151072 of  4226 extracted diseases.
    20. 2019-06-011072 of  4228 extracted diseases.
    21. 2019-06-151072 of  4229 extracted diseases.
    22. 2019-07-011072 of  4228 extracted diseases.
    23. 2019-07-151007 of  3761 extracted diseases.
    24. 2019-08-011071 of  4230 extracted diseases.
    25. 2019-08-151072 of  4233 extracted diseases.
    26. 2019-09-011070 of  4230 extracted diseases.
    27. 2019-09-151073 of  4232 extracted diseases.
    28. 2019-10-011073 of  4232 extracted diseases.
    29. 2019-10-151073 of  4232 extracted diseases.
    30. 2019-11-011071 of  4231 extracted diseases.
    31. 2019-11-151070 of  4226 extracted diseases.
    32. 2019-12-011070 of  4224 extracted diseases.
    33. 2019-12-151071 of  4225 extracted diseases.
    34. 2020-01-010 of  4226 extracted diseases.
    35. 2020-01-150 of  4230 extracted diseases.
    36. 2020-02-010 of  0 extracted diseases.
    37. 2020-02-150 of  0 extracted diseases.
    38. 2020-03-010 of  0 extracted diseases.
    39. 2020-03-150 of  0 extracted diseases.

d) Text (with at least one validated medical term) by source and snapshot

  1. wikipedia arrow_downward
    1. 2018-02-0120113 of  31126 extracted diseases.
    2. 2018-02-1520154 of  31203 extracted diseases.
    3. 2018-03-0120240 of  31393 extracted diseases.
    4. 2018-03-1520405 of  31657 extracted diseases.
    5. 2018-04-0121318 of  33203 extracted diseases.
    6. 2018-04-1521370 of  33263 extracted diseases.
    7. 2018-05-0121461 of  33400 extracted diseases.
    8. 2018-05-1521553 of  33490 extracted diseases.
    9. 2018-06-0122311 of  34628 extracted diseases.
    10. 2018-06-1522513 of  34836 extracted diseases.
    11. 2018-07-0122599 of  35218 extracted diseases.
    12. 2018-07-1522663 of  35321 extracted diseases.
    13. 2018-08-0122734 of  35430 extracted diseases.
    14. 2018-08-1522788 of  35525 extracted diseases.
    15. 2018-09-0122820 of  35574 extracted diseases.
    16. 2018-09-1522802 of  35571 extracted diseases.
    17. 2018-10-0122839 of  35619 extracted diseases.
    18. 2018-10-1522900 of  35725 extracted diseases.
    19. 2018-11-0122957 of  35794 extracted diseases.
    20. 2018-11-1523026 of  35929 extracted diseases.
    21. 2018-12-0123125 of  36050 extracted diseases.
    22. 2018-12-1523247 of  36221 extracted diseases.
    23. 2019-01-0123355 of  36385 extracted diseases.
    24. 2019-01-1523413 of  36466 extracted diseases.
    25. 2019-02-0126541 of  41210 extracted diseases.
    26. 2019-02-1526668 of  41385 extracted diseases.
    27. 2019-03-0127221 of  42283 extracted diseases.
    28. 2019-03-1527277 of  42378 extracted diseases.
    29. 2019-04-0125296 of  39204 extracted diseases.
    30. 2019-04-1527772 of  43015 extracted diseases.
    31. 2019-05-0127866 of  43201 extracted diseases.
    32. 2019-05-1527916 of  43289 extracted diseases.
    33. 2019-06-0128156 of  43678 extracted diseases.
    34. 2019-06-1528294 of  43870 extracted diseases.
    35. 2019-07-0128519 of  44179 extracted diseases.
    36. 2019-07-1528581 of  44251 extracted diseases.
    37. 2019-08-0128725 of  44460 extracted diseases.
    38. 2019-08-1531111 of  51892 extracted diseases.
    39. 2019-09-0131274 of  52123 extracted diseases.
    40. 2019-09-1531413 of  52353 extracted diseases.
    41. 2019-10-0131761 of  52971 extracted diseases.
    42. 2019-10-1531802 of  53021 extracted diseases.
    43. 2019-11-0131974 of  53295 extracted diseases.
    44. 2019-11-1532101 of  53449 extracted diseases.
    45. 2019-12-0131517 of  52466 extracted diseases.
    46. 2019-12-1533155 of  55313 extracted diseases.
    47. 2020-01-0131696 of  56302 extracted diseases.
    48. 2020-01-1533833 of  56344 extracted diseases.
    49. 2020-02-0133981 of  56511 extracted diseases.
    50. 2020-02-1533589 of  55902 extracted diseases.
    51. 2020-03-0134097 of  56637 extracted diseases.
    52. 2020-03-150 of  55829 extracted diseases.
  2. pubmed arrow_downward
    1. 2018-04-03112515 of  174900 extracted diseases.
  3. mayoclinic arrow_downward
    1. 2018-08-156197 of  10816 extracted diseases.
    2. 2018-09-016193 of  10805 extracted diseases.
    3. 2018-09-156200 of  10811 extracted diseases.
    4. 2018-10-016215 of  10830 extracted diseases.
    5. 2018-10-156211 of  10819 extracted diseases.
    6. 2018-11-016210 of  10819 extracted diseases.
    7. 2018-11-156212 of  10810 extracted diseases.
    8. 2018-12-016213 of  10814 extracted diseases.
    9. 2018-12-156240 of  10856 extracted diseases.
    10. 2019-01-016250 of  10867 extracted diseases.
    11. 2019-01-156254 of  10870 extracted diseases.
    12. 2019-02-016260 of  10880 extracted diseases.
    13. 2019-02-156267 of  10893 extracted diseases.
    14. 2019-03-016270 of  10896 extracted diseases.
    15. 2019-03-156275 of  10901 extracted diseases.
    16. 2019-04-016277 of  10903 extracted diseases.
    17. 2019-04-156277 of  10896 extracted diseases.
    18. 2019-05-016274 of  10898 extracted diseases.
    19. 2019-05-156276 of  10897 extracted diseases.
    20. 2019-06-016283 of  10900 extracted diseases.
    21. 2019-06-156281 of  10896 extracted diseases.
    22. 2019-07-016281 of  10893 extracted diseases.
    23. 2019-07-155026 of  8685 extracted diseases.
    24. 2019-08-016285 of  10906 extracted diseases.
    25. 2019-08-156300 of  10925 extracted diseases.
    26. 2019-09-016301 of  10932 extracted diseases.
    27. 2019-09-156300 of  10940 extracted diseases.
    28. 2019-10-016300 of  10940 extracted diseases.
    29. 2019-10-156300 of  10940 extracted diseases.
    30. 2019-11-016304 of  10955 extracted diseases.
    31. 2019-11-156294 of  10941 extracted diseases.
    32. 2019-12-016294 of  10944 extracted diseases.
    33. 2019-12-156312 of  10987 extracted diseases.
    34. 2020-01-010 of  10988 extracted diseases.
    35. 2020-01-150 of  10994 extracted diseases.
    36. 2020-02-010 of  10992 extracted diseases.
    37. 2020-02-150 of  10991 extracted diseases.
    38. 2020-03-010 of  10997 extracted diseases.
    39. 2020-03-150 of  11000 extracted diseases.

e) Diseases (with at least one validated medical term) with codes

  1. wikipedia arrow_downward
    1. 2018-02-013319
    2. 2018-02-153325
    3. 2018-03-013330
    4. 2018-03-153337
    5. 2018-04-013417
    6. 2018-04-153420
    7. 2018-05-013431
    8. 2018-05-153439
    9. 2018-06-013603
    10. 2018-06-153612
    11. 2018-07-013614
    12. 2018-07-153619
    13. 2018-08-013631
    14. 2018-08-153633
    15. 2018-09-013637
    16. 2018-09-153638
    17. 2018-10-013638
    18. 2018-10-153642
    19. 2018-11-013646
    20. 2018-11-153650
    21. 2018-12-013654
    22. 2018-12-153660
    23. 2019-01-013670
    24. 2019-01-153679
    25. 2019-02-013987
    26. 2019-02-153997
    27. 2019-03-014055
    28. 2019-03-154063
    29. 2019-04-013846
    30. 2019-04-154100
    31. 2019-05-014107
    32. 2019-05-154148
    33. 2019-06-014161
    34. 2019-06-154174
    35. 2019-07-014199
    36. 2019-07-154200
    37. 2019-08-014214
    38. 2019-08-154572
    39. 2019-09-014576
    40. 2019-09-154583
    41. 2019-10-014608
    42. 2019-10-154613
    43. 2019-11-014629
    44. 2019-11-154632
    45. 2019-12-014504
    46. 2019-12-154590
    47. 2020-01-014553
    48. 2020-01-154662
    49. 2020-02-014665
    50. 2020-02-154615
    51. 2020-03-014669
    52. 2020-03-150
  2. pubmed arrow_downward
    1. 2018-04-032213
  3. mayoclinic arrow_downward
    1. 2018-08-150
    2. 2018-09-010
    3. 2018-09-150
    4. 2018-10-010
    5. 2018-10-150
    6. 2018-11-010
    7. 2018-11-150
    8. 2018-12-010
    9. 2018-12-150
    10. 2019-01-010
    11. 2019-01-150
    12. 2019-02-010
    13. 2019-02-150
    14. 2019-03-010
    15. 2019-03-150
    16. 2019-04-010
    17. 2019-04-150
    18. 2019-05-010
    19. 2019-05-150
    20. 2019-06-010
    21. 2019-06-150
    22. 2019-07-010
    23. 2019-07-150
    24. 2019-08-010
    25. 2019-08-150
    26. 2019-09-010
    27. 2019-09-150
    28. 2019-10-010
    29. 2019-10-150
    30. 2019-11-010
    31. 2019-11-150
    32. 2019-12-010
    33. 2019-12-150
    34. 2020-01-010
    35. 2020-01-150
    36. 2020-02-010
    37. 2020-02-150
    38. 2020-03-010
    39. 2020-03-150

f) Disease codes (external vocabularies) by source and snapshot

  1. wikipedia arrow_downward
    1. 2018-02-0119219
    2. 2018-02-1519177
    3. 2018-03-0119132
    4. 2018-03-1519118
    5. 2018-04-0119318
    6. 2018-04-1519305
    7. 2018-05-0119288
    8. 2018-05-1519286
    9. 2018-06-0119262
    10. 2018-06-1519240
    11. 2018-07-0119225
    12. 2018-07-1519223
    13. 2018-08-0119218
    14. 2018-08-1519217
    15. 2018-09-0119349
    16. 2018-09-1519355
    17. 2018-10-0119367
    18. 2018-10-1519376
    19. 2018-11-0119376
    20. 2018-11-1519382
    21. 2018-12-0119371
    22. 2018-12-1519381
    23. 2019-01-0119381
    24. 2019-01-1519382
    25. 2019-02-0120255
    26. 2019-02-1520170
    27. 2019-03-0120221
    28. 2019-03-1520246
    29. 2019-04-0119588
    30. 2019-04-1520294
    31. 2019-05-0120295
    32. 2019-05-1521524
    33. 2019-06-0121535
    34. 2019-06-1521591
    35. 2019-07-0121631
    36. 2019-07-1521634
    37. 2019-08-0121635
    38. 2019-08-1521752
    39. 2019-09-0121751
    40. 2019-09-1521771
    41. 2019-10-0121780
    42. 2019-10-1521785
    43. 2019-11-0121788
    44. 2019-11-1521793
    45. 2019-12-0121450
    46. 2019-12-1521661
    47. 2020-01-0121917
    48. 2020-01-1521908
    49. 2020-02-0121918
    50. 2020-02-1521765
    51. 2020-03-0121920
    52. 2020-03-1521852
  2. pubmed arrow_downward
    1. 2018-04-0315682
  3. mayoclinic arrow_downward
    1. 2018-08-150
    2. 2018-09-010
    3. 2018-09-150
    4. 2018-10-010
    5. 2018-10-150
    6. 2018-11-010
    7. 2018-11-150
    8. 2018-12-010
    9. 2018-12-150
    10. 2019-01-010
    11. 2019-01-150
    12. 2019-02-010
    13. 2019-02-150
    14. 2019-03-010
    15. 2019-03-150
    16. 2019-04-010
    17. 2019-04-150
    18. 2019-05-010
    19. 2019-05-150
    20. 2019-06-010
    21. 2019-06-150
    22. 2019-07-010
    23. 2019-07-150
    24. 2019-08-010
    25. 2019-08-150
    26. 2019-09-010
    27. 2019-09-150
    28. 2019-10-010
    29. 2019-10-150
    30. 2019-11-010
    31. 2019-11-150
    32. 2019-12-010
    33. 2019-12-150
    34. 2020-01-010
    35. 2020-01-150
    36. 2020-02-010
    37. 2020-02-150
    38. 2020-03-010
    39. 2020-03-150

g) Wikipedia medical vocabularies

Up to 80 medical vocabularies have been recovered from Wikipedia.

  • Medical vocabulariesarrow_downward
    1. ALFRED
    2. Aliases
    3. AO
    4. AO Foundation
    5. BRENDA
    6. CAS Number
    7. ChEBI
    8. ChEMBL
    9. ChemSpider
    10. CompTox Dashboard (EPA)
    11. Curlie
    12. dbSNP
    13. DiseasesDB
    14. Dorlands /Elsevier
    15. DrugBank
    16. EC number
    17. ECHA InfoCard
    18. eMedicine
    19. Ensembl
    20. Entrez
    21. ExPASy
    22. External IDs
    23. FMA
    24. GARD
    25. Gene Ontology
    26. GeneReviews
    27. HapMap
    28. HgenetInfoDB
    29. HGNC
    30. HUGO
    31. ICD-10
    32. ICD-10-CM
    33. ICD-11
    34. ICD-9
    35. ICD-9-CM
    36. ICD-O
    37. IntEnz
    38. InterPro
    39. IUPHAR/BPS
    40. KEGG
    41. MedlinePlus
    42. MeSH
    43. MetaCyc
    44. NCBI gene
    45. NCI
    46. NeuroLex ID
    47. NORD
    48. OMIM
    49. OPM protein
    50. OPM superfamily
    51. Orphanet
    52. Orthobullets
    53. OrthoInfo
    54. Patient UK
    55. PDB structures
    56. Pfam
    57. Pfam clan
    58. PRIAM
    59. PROSITE
    60. PubChem CID
    61. Radiopaedia
    62. Radiopedia
    63. RefSeq
    64. Rfam
    65. Scholia
    66. SCOP
    67. SCOPe
    68. SNOMED CT
    69. SNOMED_CT
    70. SNPedia
    71. SUPERFAMILY
    72. TA
    73. TCDB
    74. TE
    75. TH
    76. UMLS
    77. UNII
    78. UniProt
    79. Wheeless Online
    80. Wheeless textbook

ii. Statistic data on biological layer

This information will be available soon.