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    21-23 January 2008, Palm Springs, California, USA

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Course Tutor :
John C. Owicki, Ph.D.

Who Should Attend?

Scientists
Technicians
Engineers
Technical managers

Some familiarity with using assays is helpful but is not essential with a sound technical background.

 

These courses were held in conjunction with Virtual Discovery and Advances in Protein Crystallography.

Fluorescence Assays in Drug Discovery
8.30am-4.30pm 21 January and 8.30am-12.30pm 22 January

What will I gain by attending ?

  • Master the basic concepts of fluorescence at the level required to understand fluorometric assays and instrumentation.
  • Become familiar with the application of fluorometric assays to the major classes of pharmacological targets.
  • Understand the basis and applications of advanced methods such as fluorescence imaging, fluorescence polarization, time-resolved energy transfer, and fluorescence-fluctuation spectroscopy.
  • Learn the important types of interferences in fluorometric assays.
  • Discover where to find more advanced information, using the extensive list of references provided.

 

Enzyme & Binding Assays in Drug Discovery
1.30pm-5.00pm 22 January and 8.30am-4.30pm 23 January

What will I gain by attending ?

  • Master the basic concepts underlying enzyme and binding assays
  • Learn how applications in drug discovery sometimes dictate assay optimization and interpretation which differ from textbook recommendations
  • Learn how best to extract the information you need from your assays


Topics for the Fluorescence course:

  • Fluorescence fundamentals
  • Labels and labeling chemistries 
  • Instrumentation
  • Interferences and limitations 
  • Survey of principal fluorescence methods
  • Biochemical and cellular applications

Topics for the Enzyme & Binding course:

  • Enzyme kinetics
  • Enzyme inhibition: Competitive, noncompetitive, uncompetitive, irreversible, and promiscuous
  • Multiple-substrate enzymes  
  • Binding equilibria and kinetics
  • Deviations from classical textbook behavior
  • Optimizing enzyme and binding assays for primary vs. secondary screening
  • Understanding mechanisms and extracting information from your data
  • Discussion of commercial data-analysis and simulation software 
  • Case studies, including receptor binding, kinases, and proteases