Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this eScience cheminformatics platform and the nature of the solutions that it helps to enable including structure validation, text mining and semantic markup, the National Chemical Database Service for the United Kingdom and the development of a chemistry data repository. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
3. 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
4. e-Science and Primary Data
• How much data generated in a lab, that COULD go public, is
lost forever?
5. 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
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
• Much of chemistry is chemical structure-based – where and
how could we host these data?
8. ChemSpider
• >28.5 million unique chemicals from >400
data sources
• Focus on improving data quality, enhancing
functionality, integrating and enabling
9. 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
12. Chemistry Data online are messy
• We have inherited errors
• All public compound databases have errors
• “Incorrect” structures – assertions, timelines etc
• “Incorrect” names associated with structures
• Properties
• Links
• Publications
• ENORMOUS CHALLENGE
18. 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
33. Some usage statistics
• ca. 200 visitors at any one time, ~30,000 visits per day
• Mar 4-Apr 3, 2013
– Visits = 731,656
– Unique Visitors = 527,008
• Independent servers to support other projects
34. Access ChemSpider
• APIs
– Programmatic access used by Mobile Apps, Funded
Consortia projects, many Academic groups
• Widgets
– UI components for embedding in other websites
• Data
– Data access, downloads, reuse, licensing
37. Publications - a summary of work
• Scientific publications are a summary of work
– Is all work reported?
– How much science is lost to pruning?
– What of value sits in notebooks and is lost?
• How much data is lost?
– How many compounds never reported?
– How many syntheses fail or succeed?
– How many characterization measurements?
45. Integrate to instruments and software
• Integration to analytical instrumentation vendors
already in place
– Agilent, Bruker, Thermo, Waters
• Also, Cheminformatics vendors link to ChemSpider
– Accelrys, ACD/Labs, ChemAxon, iChemLabs, and…
46.
47. PharmaSea
• Dereplication via ChemSpider
• Segregation of natural products datasets
• Analytical data algorithms & integration
– Mass spec searching – predicted fragmentation
– NMR feature searching – NMR prediction
– Computer-assisted structure elucidation
48. It is so difficult to navigate…
What’s the
structure?
What’s the
structure?
Are they in
our file?
Are they in
our file?
What’s
similar?
What’s
similar?
What’s the
target?
What’s the
target?Pharmacology
data?
Pharmacology
data?
Known
Pathways?
Known
Pathways?
Working On
Now?
Working On
Now?Connections to
disease?
Connections to
disease?
Expressed in
right cell type?
Expressed in
right cell type?
Competitors?Competitors?
IP?IP?
49. • 3-year Innovative Medicines Initiative project
• Integrating chemistry and biology data using semantic
web technologies
• Open source code, open data and open standards
• Academics, Pharma companies, Publishers….
50. ChemSpider Contributions
• The host of the chemistry services
– Supplier of “standardized” chemical data files
– Chemistry searching (structure, substructure etc)
– Curator and data quality checking
• Now building the Open PHACTS chemical
registration system
51. Natural Products Updates
• Names hard, Structures
“Obvious”
• New content based on
monthly updates of the
database
• Click through to the Natural
Products Updates entry
53. Chemical Database
Service
• National Chemical Database Service
for UK Academics
• Integrating Commercial Databases
and Services
• Chemicals, analytical data,
prediction algorithms
• Development of data repository
54. Community Repository for Data
• Funding agencies encourage sharing of data
• Increasing availability of “Open Data”
• Institutional repositories no specific domain
support
• Develop a community repository for chemistry
data – private, public, embargoed
• Provides data to develop models/algorithms
55. Community Repository for Data
• Automated depositions of data
• DOI’ed data objects for citation purposes
• A database of reference data, but validated by
the community
• National services feeding the repository –
crystallography, mass spectrometry
• Integrate to blogging tools for chemistry
• Integrate to Electronic Lab Notebooks as feeds
56. Model Building with Community Data
• Community data as a basis of model building
– Consume data from available databases, community
data, new publications and build predictive
algorithms for the community
– How many algorithms are reported and lost? How
much repeat work is done in the domain of
algorithmic development?
57. Support for Chemical Reactions
• Integrating mined reaction data from patents
• Will also incorporate and integrate RSC
Databases: Methods of Organic Synthesis,
Catalysts and Catalyzed Reactions and…
58. Inside our Publication Archive
• How much data is in the archive, in the
publications and in the supplementary info?
– How many compounds for ChemSpider?
– How many syntheses for ChemSpider reactions?
– How many characterization measurements?
• Property Data
• Spectral Data
• Graphs and charts to be used for modeling?
59. What if we could capture it all?
Digitally Enhancing the RSC Archive
61. Data Validation and Curation Required
Encouraging Participation with
Rewards and RECOGNITION
62. Manual Curation
• Integrated commenting, curating and validation
platform across ALL eScience and publishing
platforms
• All integrated to a central RSC profile and
feeding the AltMetrics tools
65. Internet Data
The Future
Commercial Software
Pre-competitive Data
Open Science
Open Data
Publishers
Educators
Open Databases
Chemical Vendors
Small organic molecules
Undefined materials
Organometallics
Nanomaterials
Polymers
Minerals
Particle bound
Links to Biologicals
66. 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
• Open Data proliferate
• The “Semantic Web” will continue to develop…