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Biological/Medicinal Introduction to Drug Metabolism: Role and Practice in Drug Discovery and Development  
Course Code: INDM  
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Course Information
Learn about generating, interpreting, and using drug metabolism data to support drug discovery—from lead selection and optimization to drug registration.  
 
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When/Where/Fees
 
San Francisco, CA :: Boston, MA :: ::  
  Dates/Times/Locations
 
  Date - TBA
  Check-in opens at 7:30 a.m. on the first day of the course.

Course runs from 8:30 a.m. to 5:00 p.m. each day.
 
  Event Location:
  TBA
 
 
 
 
  Fees  
 
  Early Registration: $795  
  Advanced Registration: $895  
  Standard Registration: $995  
 
  The course fee includes a course binder and a continental breakfast each day.

Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. This discount is only available if you register by fax or mail and mention this discount. May not be combined with any other offer.
 
 
  Register with form via mail or fax >


Key Topics
 
  • Optimal ADME properties of a drug candidate.
  • Common biotransformation reactions and enzymes. Application examples.
  • Optimization of lead compounds from the drug metabolism perspective.
  • Assessment and minimization of structural liabilities associated with drug metabolism.
  • Typical drug metabolism experiments for drug discovery and development.
  • Regulatory consideration and PhRMA perspective on drug metabolism (including MIST).
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Course Instructor(s)
 
Dr. Donglu Zhang is a Principal Scientist at Bristol-Myers Squibb in Princeton, NJ. Dr. Zhang has frequently taught short courses at ACS and EAS, is a co-editor of the book ‘Drug metabolism in drug design and development’, a co-inventor of mass defect filtering technology, and has published >60 peer-reviewed articles.
 
Dr. Ragu Ramanathan is an Associate Director in the Department of Biotransformation at Bristol-Myers Squibb, Princeton, NJ. With over 20 years of experience in mass spectrometry, Dr. Ramanathan’s primary focus of research involves application of LC-MS for pharmaceutical drug discovery and development.
 
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