1 / 27

PowerMV Chemical Data Mining Environment

PowerMV Chemical Data Mining Environment. S. Stanley Young Jun Feng and Jack Liu NISS MPDM, McMaster University 4 June 2005. Outline. PowerMV, a chemistry data mining environment. rSVD, robust singular value decomposition, Liu, Hawkins, Ghosh,Young, PNAS (2003). Space-filling designs.

jena
Download Presentation

PowerMV Chemical Data Mining Environment

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. PowerMV Chemical Data Mining Environment S. Stanley Young Jun Feng and Jack Liu NISS MPDM, McMaster University 4 June 2005

  2. Outline • PowerMV, a chemistry data mining environment. • rSVD, robust singular value decomposition, Liu, Hawkins, Ghosh,Young, PNAS (2003). • Space-filling designs. • PharmID: complex problem.

  3. Environment 20k lines of interface code; 300k lines of algorithm code. ~0.75 man-years.

  4. 1 -ISIS- 3D 20 22 0 0 0 0 0 0 0 0999 V2000 2.0680 1.5173 0.0000 C 0 0 0 0 0 2.9340 2.0173 0.0000 N 0 0 0 0 0 2.9340 3.0173 0.0000 C 0 0 0 0 0 3.8000 1.5173 0.0000 C 0 0 0 0 0 3.8000 0.5173 0.0000 C 0 0 0 0 0 4.6660 0.0173 0.0000 C 0 0 0 0 0 4.6660 -0.9827 0.0000 N 0 0 0 0 0 5.5321 -1.4827 0.0000 C 0 0 0 0 0 5.5321 -2.4827 0.0000 C 0 0 0 0 0 4.6660 -2.9827 0.0000 S 0 0 0 0 0 3.8000 -2.4827 0.0000 C 0 0 0 0 0 3.8000 -1.4827 0.0000 C 0 0 0 0 0 2.9061 -0.9480 0.0000 C 0 0 0 0 0 2.0000 -1.4619 0.0000 C 0 0 0 0 0 2.0000 -2.5035 0.0000 C 0 0 0 0 0 2.9061 -3.0173 0.0000 C 0 0 0 0 0 6.4260 -3.0173 0.0000 C 0 0 0 0 0 7.3321 -2.5035 0.0000 C 0 0 0 0 0 7.3321 -1.4619 0.0000 C 0 0 0 0 0 6.4260 -0.9480 0.0000 C 0 0 0 0 0 1 2 1 0 0 0 2 3 1 0 0 0 2 4 1 0 0 0 4 5 1 0 0 0 5 6 1 0 0 0 Etc. SD File, 50 years old and bad!

  5. Smiles Chemical Notation CC1=CC=C(C=C1)S(=O)(=O)N(CC(O)=O)C2=CC(Cl)=CC=C2 CC1CCC(CC1)C(C)(C)C(CC(C)C)C2CCCC(C)C2

  6. Viewer

  7. Molecule Blow Up

  8. 3D View

  9. Compute Molecular Descriptors,Drug-Like Properties

  10. Chemical Graphs and Properties

  11. Multiple Descriptor Types Numerical Topology!

  12. Similarity Searching,Motivating Paper

  13. Select a Target Compound

  14. Search Dialog

  15. Structure Comparison Window Target Neighbor Annotation

  16. Statistical Methods

  17. Summary • Display SD. • Compute descriptors. • Cluster. • Statistical analysis. • Similarity search. • Become NISS affiliate! • 20k display code • 300k algorithm code Free download : www.niss.org/PowerMV

  18. Contact Information Stan Young young@niss.org www.niss,org 919 685 9328 Jun Feng feng@niss.org Become a NISS Affiliate!

  19. Questions / Comments ?

  20. Computed Properties – Rule of 5

  21. Structure Comparison

  22. Neighbor List

  23. Attribute Comparison

  24. Annotated Data Bases • Stockwell ACL • ChemBank • Exploratory Centers for Chemoinformatics Research • Chemical Entities of Biological Interest • Commercial, e.g. GVK, ACS, MDDR, Ashgate

  25. RuleofFive

  26. Example: CNS Compounds

  27. Current NISS ResearchPharmID: Pharmacophore Identification • NISS research. • Jun Feng, CompChem. • Seeking collaborators. • Become NISS affiliate. Finds multiple binding modes! Selectivity.

More Related