A Presentation At Nature Publishing Group Crowdsourcing, Collaborations And Text Mining In A World Of Open Chemistry

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    A Presentation At Nature Publishing Group Crowdsourcing, Collaborations And Text Mining In A World Of Open Chemistry - Presentation Transcript

    1. Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry Nature Publishing Group 11/2008 Antony Williams
    2. Imagine a time when ….
      • The internet is searchable by chemical structure and substructure (e.g.Wikipedia, Google Scholar)
      • Chemistry articles are indexed and searchable by a free online service
      • The web is linked together through the “language of chemistry”
      • Publicly funded research data can be shared and discussed in the Open, maybe as ONS?
      • Cheminformatics has as much of a public face as bioinformatics
    3. ChemSpider - A Search Engine for Chemists
      • Questions a chemist might ask…
        • What is the melting point of n-butanol?
        • What is the chemical structure of Xanax?
        • Chemically, what is phenolphthalein?
        • What are the stereocenters of cholesterol?
        • Where can I find publications about xylene?
        • What are the different trade names for Ketoconazole?
        • What is the NMR spectrum of Aspirin?
        • What are the safety handling issues for Thymol Blue?
        • ChemSpider can answer all of these questions
    4. What is a Structure? Ask a computer…ask a chemist
    5. Tell Me About Glutathione
    6. Tell Me About Glutathione
    7. Tell Me About Glutathione
    8. Tell Me About Glutathione
    9. Tell Me About Glutathione
    10. Tell Me About Glutathione
    11. Link outs
    12. Links out to KEGG Kyoto Encyclopedia of Genes and Genomes
    13. How many names does a compound have?
    14. ChemSpider Data Content
      • Over 21.5 million unique chemical structures from ca. 150 data sources
        • Online Databases –PubChem, Drugbank, KEGG, Wikipedia
        • Literature – PubMed, J Het Chem, Nature, RSC, Open Access
        • Chemical Vendors – over 40 different vendors and growing
        • Personal Depositions – individual contributions
        • Content database vendors
        • Analytical data collections
        • Patents
        • Web scraping
        • Content is linked back to the original data sources
    15. Other Searches
      • What compounds have a mass of 300+/-0.001?
      • or search a combination of intrinsic/predicted properties
    16. Other Searches
    17. Complex Search
    18. The Quality of Data Online…
      • Aggregating data opens up quality issues
      • Structure-identifier associations are “dirty”
      • Structures are COMMONLY incorrect
      • Manual curation of small databases is enough work – what about millions of structures?
      • Structures are far from perfect. What is a “correct structure”?
        • Full stereochemistry?
        • Historical timeline of structure?
        • Who is the authority?
    19. Who holds THE Quality Authority?
      • Chemical Abstracts Service is the structural authority today. 1400 employees, world standard in chemistry information
      • 101 years of knowledge, process and expertise.
      • How can an online, free access system peacefully co-exist with the authority?
    20. Quality is a Major Issue- Search Butanol OLD EXAMPLE..now fixed
    21. Wikipedia Chemistry Curation project
      • Only ca. 5000 organic structures, 7000 total structures
      • Almost a year of work so far for a team of 6 people
      • Many errors removed in the process. Curation process is a daily event for users/depositors
      • Slow and torturous process
      • http://en.wikipedia.org/wiki/Talk:Tacrolimus#IUPAC_Name_and_structure
    22. Wikipedia Curation
      • Looking for self-consistency across a Wikipedia Page
      • Primary key is the article TITLE
      • The chemical shown needs to match the title
      • Cyclic self-consistency – and decisions must get made
    23. Viagra or Sildenafil
    24. Other issues…
    25. Charges
    26. Sugars – Machine Readable vs Aesthetics Haworth Stereo Fischer
    27. Wikipedia – Crowdsourcing Chemistry
    28. Thymol Blue on ChemSpider
      • Data online includes:
        • UV-vis spectrum
        • Measured experimental properties
        • Link to Wikipedia article
        • Links to chromatography details
        • Multiple identifiers/trade names etc.
        • Links to vendors/suppliers/other databases
        • Safety information
        • http://www.chemspider.com/q/thymol%20blue
    29. Differences between ChemSpider/Wikipedia No, but links. Analytical Data Active editors > 50 (?) Active depositors/curators – 30 No Prediction of properties ???? 6000 people/day; 1900 registered Detailed compound monographs Compound monographs linked Text Complex queries – Properties, Text, structure/substructure, OA publishers, Data Sources, … ~5000 organics, 2000 others >21 million unique structures Wikipedia ChemSpider
    30. Differences between Wikipedia/ChemSpider Growing reputation as focused on quality Worldwide reputation as quality source – good and bad Chemistry is the focus of ‘Spider Chemistry is a subset of the ‘Pedia Mixed “licensing” GFL licensing for everything Growing team of advocates, curators and users Strong team of WP:Chem advocates, curators and admins “ Out of a basement” on three servers and 5 volunteers Established infrastructure and Wikipedia Foundation Team Primarily Microsoft .NET technologies with OS components Supported by tried and tested Media-Wiki platform. ChemSpider Wikipedia
    31. Crowd-sourcing Curation
      • How to curate data for millions of structures?
      • Robot processes can clean up depositions
        • Search for Chloride and check molecular formula for Cl
        • Check for stereochemistry and remove names with stereo
      • Provide a simple-to-use platform to curate, annotate and tag data
      • Provide curator administration to prevent vandalism (Veropedia)
    32. Post Comments
      • Anyone can “Post Comments” associated with a structure. To curate data we require login to track
    33. Multi-level Curation and Approval
    34. Crowd-sourcing Chemistry
      • Crowd-sourced curation: identify and tag errors, edit names, synonyms, identify records for deprecation
      • ALSO
      • Crowd-sourced deposition: anyone can deposit data (structures, text, images, analytical data)
    35. DailyMed
    36. Quality of Structures
    37. Quality of Structures!!!
    38. Structure-Centric
      • We want to search “information” by structure, substructure, similarity of structure
      • Specific focus on Open Chemistry at present
      • Standard approaches would be:
        • Identify chemical names “entity extraction”
        • Convert chemical names to structures and index
      • ChemSpider has a validated dictionary of structure-name pairs
      • Use name extraction, name-conversion and dictionary look-up. THEN curate.
    39. “Entity Extraction”
      • Rule-based recognition of systematic names:
        • Use a lexeme of name fragments
        • Rules for identifying bounds of a name
      • Look-up dictionary:
        • Drug Names
        • Trivial Names
        • Numbers : Registry IDs, EINECS/ELINCS
        • Massive look-up dictionary of validated identifiers on ChemSpider
    40.  
    41. Name Recognition
      • Azo aldehyde 2   was  synthesized according to a reported  method [17]. To  a stirred  solution  of azo aldehyde 2   (1.08 g, 3.76 mmol )  in  dry CH2Cl2  (30.00 mL) at  0 oC  were  successively  added (3,4-diaminophenyl)phenyl methanone 1 (0.40 g, 1.88 mmol) and a excces of anhydrous MgSO4 (2.00 g,16.67 mmol) .
      • The resulting  mixture  was  stirred  for  6 hours  at room temperature [18]. The mixture was  filtered and washed with dichloromethane . Then the solvent was  evaporated under reduced pressure to  give azo Schiff base 3   as a red solid which was recrystalized from ethanol 95%    (1.28 g, 91 %)
    42. Name Recognition
      • Azo aldehyde 2   was  synthesized according to a reported  method [17]. To  a stirred  solution  of azo aldehyde 2   (1.08 g, 3.76 mmol )  in  dry CH2Cl2   (30.00 mL) at  0 oC  were  successively  added  (3,4-diaminophenyl)phenyl methanone 1 (0.40 g, 1.88 mmol) and a excess of anhydrous MgSO 4 (2.00 g,16.67 mmol) .
      • The resulting  mixture  was  stirred  for  6 hours  at room temperature [18]. The mixture was  filtered and washed with dichloromethane . Then the solvent was  evaporated under reduced pressure to  give azo Schiff base 3   as a red solid which was recrystalized from ethanol 95%    (1.28 g, 91 %)
    43. How Many Chemical Names?
      • “ She had the drive to derive success in any venture and was well versed in Karate. When the man in the tartan shirt approached her with a dagger in his hand she spat in his face, took the stance of a commando and took advantage of his shock to release the dagger from his grip and causing him to recoil. He went home and took an aspirin after the beating.”
    44. How Many Chemical Names?
      • “ She had the drive to derive success in any venture and was well versed in Karate . When the man in the tartan shirt approached her with a dagger in his hand she spat in his face, took the stance of a commando and took advantage of his shock to release the dagger from his grip and causing him to recoil . He went home and took an aspirin after the beating.”
    45. ChemMantis
      • Chem ical M arkup A nd N omenclature T ransformation I ntegrated S ystem
    46. Making Open Access Articles Searchable Proof of Concept
      • Can we HOST Chemistry Open Access articles on ChemSpider and add-value
      • Can we identify chemical names in Open Access articles in a user-friendly manner
      • Can we convert names to structures in Open-Access articles and expand ChemSpider and provide structure searching of Open Access chemistry articles?
      • Can we provide an environment for chemists to mark-up their own articles and crowd-source markup of an archive?
    47. Document markup
      • ChemSpider now hosting Open Access articles from MDPI, Molecular Diversity Preservation International
      • Hosting the Molbank collection at present
    48. A Standard for Document Markup?
      • NLM-DTD: National Library of Medicine; Document Type Definition
      • Approved markup definitions to apply to journal articles – extended as necessary for our purposes
    49. NLM/DTD markup
    50. Chemistry and Biology
      • Menus can be extended as necessary
    51. Document markup
    52. Markup – 3 seconds!
    53. On the fly conversion
    54. Shorthand Formulae Supported
    55. One Click to more Info…
    56. Structure Image Conversion
    57. Two Seconds Later
    58. Not Always Perfect….
    59. A Platform for Markup
      • Can we provide a platform for document markup for chemists?
      • Workflow:
        • Upload word docs, RTF files or point to HTML and load
        • Apply entity extraction, convert names to structures, mark-up automatically and ask for user participation
        • Publish final version with NLM-DTD markup
        • Deposit all structures on ChemSpider under embargo and wait for article DOI to release
    60. Challenges
      • Computer software can generate chemical names better than the majority of chemists
      • The majority of chemical names are generated by humans, and Incorrect – convert to the wrong structure or are ambiguous
      • One name, Multiple Structures
    61. Names and Structures
      • Dichloroacetone
      • Trichloromethylsilane
    62. Ambiguity
    63. Ambiguity in Abbreviations - DPA
    64. Ambiguity in Abbreviations - THF
    65. Import is Easy
      • Make articles Public/Private (embargo date soon)
      • Auto-markup and check by user
    66. IUPAC PAC Articles
    67. Supports Word .DOC, HTML, RTF
    68. Drexel University Documents
    69. Drexel University Documents
    70. Drexel University Documents
    71. Patents
      • Single Configuration File defines entities for markup
      • Algorithms can be built for certain entities but the majority are dictionaries – vendors, Phys Properties, Analytical
      • We can extend our system to support your needs based on dictionaries – what does NPG need/not need?
    72. Nature Publications
    73. Entity Balloons
      • Structures are the language of chemistry
      • Show structures to chemists and search/link from there
    74. Other Dictionaries - Species
      • We are considering
        • Bacteria
        • Fungi
        • Enzymes
        • Viruses
        • PDB codes….
    75. Integrations Out to Other Sources
    76. Integrations Out to Other Sources
    77. Reactions
    78. Manual Curation is Always Necessary
    79. Text- Indexing and ChemSpider?
      • ChemSpider text-indexes almost 500,000 Open Access and Free Access articles
      • Collection is growing and more publishers have already agreed. Including theses in the future.
    80. Open Access Literature Search
    81. Conclusions
      • The quality of structure-based data online should always be questioned – that includes ChemSpider
      • Data on ChemSpider are being added and curated on a daily basis but we need more eyeballs helping always
      • ChemSpider has a large validated structure-name dictionary
      • Chemical name extraction and document markup is very enabling
    82. Oops…

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