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version 5. 3 , April 20 10

The ChemAxon Markush project overview and development discussion. version 5. 3 , April 20 10. Contents. What are Markush structure s? How to get them? What can be done with them? Enumeration Storage, search Recent developments, plans. What are Markush structures and how to get them?.

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version 5. 3 , April 20 10

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  1. The ChemAxon Markush projectoverview and development discussion version 5.3, April 2010

  2. Contents • What are Markush structures? • How to get them? • What can be done with them? • Enumeration • Storage, search • Recent developments, plans

  3. What are Markush structures and how to get them?

  4. Markushstructures Generic notation for describing many molecules (= Markush library) in a compact form. Main usage: • Combinatorial chemistry • Chemistry-related patents

  5. Markush structures • Current features handled: • R-groups • Atom lists, bond lists • Position variation bond • Link nodes • Repeating units • Homology groups (aryl, alkyl, etc.)

  6. ChemAxon Markush project Goals: • Extend structural search capabilities to combinatorial Markush structures • Markush enumeration Complications: • Practical examples may be very complex, methods using explicit enumeration may be impossible • Extension of current molecular formats (generic features) Timeline • Pilot study started in 2005 Q4, • First prototype shown at UGM, 2006 June • Released in JChem 5.0, 2008

  7. Markush structures Current features handled: • R-groups • Atom lists, bond lists • Position variation bond • Link nodes • Repeating units • Homology groups (aryl, alkyl, etc.)

  8. How to get Markush structures? • Drawing – Marvin Sketch

  9. How to get Markush structures? • Patent literature – Markush DARC format • Compatible with Thomson Reuters MMS patent Markush database(Test set available.)

  10. How to get Markush structures? Combinatorial chemistry – Reagent clipping • Replace reacting group with attachment point (Reactor tool) • Turn fragments to R-group definitions (Molconvert tool) • Add a scaffold (Molconvert tool)

  11. How to get Markush structures? Combinatorial chemistry – R-group decomposition • Filter and identify ligands in chemical library • Create Markush structure from R-table (R-group decomposition tool)

  12. What to do with them?

  13. Markush Enumeration • Markush enumeration plugin • Full enumeration • Selected parts only • Random enumeration • Calculate library size • Scaffold alignmentand coloring • Markush code • Optional example homology groupenumeration

  14. Markush storage & search • JChem Base and Instant JChem • No enumeration involved • Can handle complex Markush structures (1040or more) • Substructure and Full structure search • Basic query features supported

  15. Example web application • Uses Marvin applets • Markush search, insert, import, enumeration, coloring, Markush reduction integrated

  16. Markush storage & search Substructure hit visualization Query Result in original Markush

  17. Markush storage & search Substructure hit visualization: „Markush structure reduction” Query Result in original Markush Reduced result

  18. What’s new • Support of Markush DARC (Thomson Reuters MMS patent Markush database) file format • Handling of multiple attachment points (>2) • Homology groups • 19 built-in groups • Marvin templates for easier sketching • Customizable: • Examples (for built-in groups), • User-defined homology groups • Import reagent files as R-groups

  19. Demo Click here...

  20. Main use cases • Patent search hits refining / visualization, • White space analysis, • Patent busting, • Markush structure curation, • In-house storage of small Markush DB, • etc...

  21. Under development • Further improvements in Markush DARC import • Maximum common substructure search • Biased enumeration • Overlap analysis of Markush structures • Conditions for Markush variables

  22. Summary • Markush structure storage, search and enumeration at ChemAxon now patentcoverage • Compatible patent data is available from Thomson Reuters • Continuous development, improvements in the pipeline

  23. Acknowledgements • Development team: Nóra Máté, Róbert Wágner, Szilárd Dóránt, Tamás Csizmazia, Tim Dudgeon, Ali Baharev, Ferenc Csizmadia, et al. • Tim Miller, Steve Hajkowski, Gez Cross and Linda Clark at Thomson Reuters for useful discussions, help and example .VMN files • Many early adopters and colleagues within the field for suggestions and feedback

  24. Interested? • We are looking for further early adopters • Currently running individual projects with pharma companies to test and enhance functionality. • If you are interested, please contact us.

  25. Thank you for your attention!

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