RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to chemists. We will discuss some of the challenges associated with validating data quality and examine how ChemSpider is a part of the new “semantic web for chemistry”. ChemSpider has also spawned a number of additional projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles, Learn Chemistry Wiki for students learning chemistry and SpectraSchool for learning spectroscopy.

1. Delivering Curated Chemistry to the
World via Crowdsourced Deposition
and Annotation on ChemSpider
Antony Williams
University of Illinois in Chicago, January 27th 2012

2. The World of Online Chemistry
 Property databases
 Compound aggregators
 Screening assay results
 Scientific publications
 Encyclopedic articles (Wikipedia)
 Metabolic pathway databases
 ADME/Tox data – eTOX for example
 Blogs/Wikis and Open Notebook Science
 Contributing Open Source code to projects

3. We Have …Too Much Data!!!

4. e-Science and Primary Data
 How much data generated in a lab, that COULD
go public, is lost forever?

5. TotallySynthetic.com

6. e-Science and Primary Data
 How much data generated in a lab, that COULD
go public, is lost forever?
 Public Domain reference databases of value?
 Syntheses
 Properties
 Spectra
 CIFs
 Images

7. PubChem

8. ChEMBL

9. Collaborative Knowledge Management

10. e-Science and Primary Data
 How much data generated in a lab, that COULD
go public, is lost forever?
 Public Domain reference databases of value?
 Syntheses
 Properties
 Spectra
 CIFs
 Images
 Much of chemistry is chemical structure-based –
where and how could we host these data?

11. RSC’s ChemSpider

12. Available Information…
 Linked to vendors, safety data, toxicity, metabolism

13. Available Information….

14. Crowdsourced “Annotations”
 Users can add
 Descriptions/Syntheses/Commentaries
 Links to PubMed articles
 Links to articles via DOIs
 Add spectral data
 Add Crystallographic Information Files
 Add photos
 Add MP3 files
 Add Videos

16. Spectra

17. Spectra

18. Data on the Web

19. Chemistry Data online is messy
 We have inherited errors
 All public compound databases, including ours,
have errors
 “Incorrect” structures – assertions, timelines etc
 “Incorrect” names associated with structures
 Properties
 Links
 Publications
 ENORMOUS CHALLENGE

20. The Structure of Vitamin K?

21. MeSH
 A lipid cofactor that is required for normal blood
clotting. Several forms of vitamin K have been
identified: VITAMIN K 1 (phytomenadione)
derived from plants, VITAMIN K 2 (menaquinone)
from bacteria, and synthetic naphthoquinone
provitamins, VITAMIN K 3 (menadione). Vitamin K 3
provitamins, after being alkylated in vivo, exhibit the
antifibrinolytic activity of vitamin K. Green leafy
vegetables, liver, cheese, butter, and egg yolk are
good sources of vitamin K

22. The Structure of Vitamin K1?

23. What is the Structure of Vitamin K1?

24. CAS’s Common Chemistry

25. Wikipedia

28. ChEBI – Manual Curation

32. “2-methyl-3-(3,7,11,15-tetramethylhexadec-2-
enyl)naphthalene-1,4-dione”
 Variants of systematic names on PubChem
 2-methyl-3-[(E,7R,11R)-3,7,11,15-tetramethyl
 2-methyl-3-[(E,7S,11R)-3,7,11,15-tetramethyl
 2-methyl-3-[(E,7R,11S)-3,7,11,15-tetramethyl
 2-methyl-3-[(E,7S,11S)-3,7,11,15-tetramethyl
 2-methyl-3-[(E,11S)-3,7,11,15-tetramethyl
 2-methyl-3-[(E)-3,7,11,15-tetramethyl
 2-methyl-3-(3,7,11,15-tetramethyl
 2-methyl-3-[(E)-3,7,11,15-tetramethyl

33. Question Everything online: www.dhmo.org

34. It’s all on Wikipedia…

35. Chemistry on The Internet Is Messy

36. It’s Methane…

37. What’s Methane?

38. What’s Methane?

39. What ELSE is Methane???

41. EPA’s DailyMed

42. EPA’s DailyMed

43. EPA’s DailyMed

44. PHYSPROP Database
The freely downloadable
database under the EPI
Suite prediction software
Very Basic filters suggest
data quality issues

45. The Stereochemistry challenge.
12500 chemicals with “missed” stereo

46. With Great Fanfare…

47. NPC Browser http://tripod.nih.gov/npc/

48. NPC Browser http://tripod.nih.gov/npc/

50. Openness and Quality Issues
Williams and Ekins, DDT, 16: 747-750 (2011)
Science Translational Medicine 2011

51. Public Domain Databases
 Our databases are a mess…
 Non-curated databases are proliferating errors
 We source and deposit data between databases
 Original sources of errors hard to determine
 Curation is time-consuming and challenging

52. Stop Whining – Fix it

53. Crowdsourced Curation
 Crowd-sourced curation: identify/tag errors, edit
names, synonyms, identify records to deprecate

54. Search “Vitamin H”

55. “Curate” Identifiers

56. “Curate” Identifiers

57. “Curate” Identifiers

58. Standards : Structure Standardization

59. Standards : Structure Standardization

60. Standards : Structure Standardization

61. What needs to happen?
 Standards
 Standardization of structures
 ChEBI/PubChem sharing
 InChI adoption

62. The InChI Identifier

63. Multiple Layers

64. InChIStrings Hash to InChIKeys

65. Vancomycin – Search the Internet

66. Vancomycin
Search Molecular Search Full Molecule
SKELETON

67. Full Skeleton Search: 104 Hits

68. Full Molecule Search: 4 Hits

69. Crowdsourcing Works
 >130 people have deposited data and
participated in data curation
 Different level curators check each other
 More curators and depositors are
encouraged!

70. What needs to happen?
 Standards
 Standardization of structures
 ChEBI/PubChem sharing
 InChI adoption
 Collaboration
 Stop reinventing the wheel
 Share data, share efforts and speed the process

71. Antony Williams vs Identifiers
Passport ID
Dad, Tony, others
5 email addresses
License
ChemSpiderman (blog, SSN
Twitter account,
Facebook, Friendfeed)
OpenID
….
Green Card

72. Aspirin names and synonyms
• Text searches depend on
correct association
• 335 suggested identifiers for
Aspirin just on PubChem!
• Disambiguation dictionaries
are necessary, not just for
authors!

75. The Final Search Strategy

76. All Those Names, One Structure

77. Ambiguity in Identifiers

78. Curated Dictionaries Matter

79. Success Depends on Dictionaries

80. Validated Name-Structure Dictionaries
 Chemical name dictionaries are used for:
 Text-mining (publications, patents)
 Used to index PubMed and link to Google Patents
 Linking to other databases – think Biology!
 When structures are not available drug names link
 Searching the web
 Names link to structures link to InChIs

81. I want to know about “Vincristine”
If all algorithms work then
everything on the page is
correct by default except the
name-structure relationship!

82. Vincristine: Identifiers and Properties

83. Vincristine: Vendors and Sources
Linked by Structure

84. Vincristine: Patents
Linked by Name

85. Vincristine: Articles
Linked by Name

86. Challenges of Complex Molecules
Yohimbine

87. Originally 15 compounds “called” Yohimbine
54 Skeletons for Yohimbine

88. Pharma Information Tombs
 Internal and external content
 Built to meet primary use-case
 Tailored indexes and GUIs
 Internal unique language & metadata
 Poor interoperability/integration
 Powerpoint, Documents, Excel
 Many suppliers of systems and content in
a single workflow
In vivo Pipeline Literature Patents News SAR CSRs Safety Etc

89. What could create change?
 Harvard Business Review (2010)
“One change would make a substantial
difference [to drug R&D]: the creation of
agreed-upon standards for digitally
representing drug assets.”

90. It is so difficult to navigate…
IP?
What’s the
structure?
Are they in
our file?
What’s
similar?
What’s the
Pharmacology target?
data?
Known
Pathways?
Competitors?
Working On
Connections Now?
to disease?
Expressed in
right cell type?

91. Open PHACTS Project
 Develop a set of robust standards…
 Implement the standards in a semantic integration hub
 Deliver services to support drug discovery programs in
pharma and public domain
 22 partners, 8 pharmaceutical companies, 3 biotechs
 36 months project
Guiding principle is open access, open usage, open source
- Key to standards adoption -

93. ChemSpider Resources for Chemistry

94. The Future
Internet Data
Small organic molecules Commercial Software
Undefined materials Pre-competitive Data
Organometallics Open Science
Nanomaterials Open Data
Polymers Publishers
Minerals Educators
Particle bound Open Databases
Links to Biologicals Chemical Vendors

95. The Future of Chemistry on the Web?
 Public compound databases federate & build
a linked environment of validated data!
 Data validation needs are not ignored
 Publishers layer on information to make
publications discoverable
 Public-Private databases can be linked
 Open Data proliferate
 The “Semantic Web” in action

96. Acknowledgments
 The ChemSpider team
 Our data providers, depositors, collaborators and
curators
 Software providers – OpenEye, ChemDoodle,
ACD/Labs, GGA Software, Open Source (Jmol,
JSpecView, OpenBabel)
 Sean Ekins @collabchem

97. Thank you
Email: williamsa@rsc.org
Twitter: ChemConnector
Blog: www.chemspider.com/blog
Personal Blog: www.chemconnector.com
SLIDES: www.slideshare.net/AntonyWilliams