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Application of High-Throughput Methodology to Human Drug Targets

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Presentation on theme: "Application of High-Throughput Methodology to Human Drug Targets"— Presentation transcript:

1 Application of High-Throughput Methodology to Human Drug Targets
Duncan E. McRee, Ph.D. President, ActiveSight

2 ActiveSight Background
Founded in 2003 by Duncan McRee, Ron Swanson and Les Tari Funded by Rigaku Americas Corp. 14 Personnel -10 Humans and 4 Robots Mission: Advance medicine by providing a portfolio of validated drug discovery target proteins for structure-based drug design and providing these as a service to biotech and pharma.

3 Structural Genomics Progress
PDB Fruit Stand

4 Chemical Genomics

5 Fragment Based Screening

6 Fragment Screening Small fragments are screened by X-ray
Small compounds ~200 MW at 10 mM or higher Several compounds are soaked at once to increase efficiency Hit rates are typically 3-4%

7 Small Fragments Have a higher hit rate Have higher ligand efficiency
Leave more chemical space Need a smaller library

8 Chemical Space 50 100 150 200 500 Molecular Weight H C N O S Cl Fl Br

9 = Free energy per heavy atom
Ligand Efficiency Δg / #Heavy Atoms = Free energy per heavy atom Hopkins, Groom and Alex, Drug Disc. Today (2004) 19, 430-1 IC(50) = 1 mM, 8 heavy atoms LE = 0.5 IC(50) = 10 nM, 38 heavy atoms LE = .29 kcal/mol

10 Ligand Efficiency From Wenlock et al (2003), J Med Chem 46,

11 Potency vs. Efficiency HTS Hit Kd = 10 uM LE = 0.1 Fragment Hit

12 Connecting Fragments K(A) = 1 mM K(B) = 1 mM K(AB)=K(A)K(B)L ≤ 1 uM

13 ActiveSight Fragment Library
420 compounds expert selected, checked for solubility and validated at ActiveSight - typical molecular weights Da - rigid, low complexity, single core

14 Example: targeting hsp90
Target the “closed” conformation Data collection soaking 2-30 minutes, 2-10 mM concentrations in house data sets ~2Å, 30min/dataset Structure Solution Python script

15 Hsp90 Screening Results Compound RA1014

16 Inhibitor built from adenine core
PDB entry: 1UY6 JRNL AUTH L.WRIGHT,X.BARRIL,B.DYMOCK,L.SHERIDAN,A.SURGENOR, JRNL AUTH 2 M.BESWICK,M.DRYSDALE,A.COLLIER,A.MASSEY,N.DAVIES, JRNL AUTH 3 A.FINK,C.FROMONT,W.AHERNE,K.BOXALL,S.SHARP, JRNL AUTH 4 P.WORKMAN,R.HUBBARD JRNL TITL STRUCTURE-ACTIVITY RELATIONSHIPS IN PURINE-BASED JRNL TITL 2 INHIBITOR BINDING TO HSP90 ISOFORMS JRNL REF CHEM.BIOL V JRNL REFN ASTM CBOLE2 UK ISSN

17 Scripps Fragment Screening Collaborations
AIDS Protease with Holly Heaslet, Bruce Torbett, John Elder and Dave Stout AIDS is an enormous epidemic – a global health crisis AIDS protease inhibitors are highly successful at slowing disease but resistant strains of virus always arising so that new drugs must be continuously developed We are developing an affinity grid of the active sight to facilitate drug design efforts

18 Scripps Fragment Screening Collaborations
SARS Structural Genomics with Peter Kuhn and Ray Stevens A number of SARS proteins have been solved that have unknown function With fragment screening we hope to identify binding sites and inhibitors for functional studies

19 Automated Structure Solution

20 MIAutoStructure Automated system Python script
MIFit GUI CommandLine Automated system or or Keyworded parameter file Python script Launch, analyze intermediate results, log External applications (CCP4, SHELX)

21 MIFit Ligand Density

22 For more information go to
Acknowledgements Robin Rosenfeld Les Tari Ron Swanson Isaac Hoffman Dan Bensen John Badger Paul Collins Bradley Smith For more information go to and


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