HUM-MOLGEN events: CHI's MOLECULAR DIVERSITY

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September 21, 2001

Cambridge Healthtech Institute, Hilton San Diego Resort
February 11-12, 2002

In the early 1990s it was believed that combinatorial chemistry would revolutionize the drug discovery industry. Ten years later the route from design and synthesis of compound libraries to identification of lead structures is still long and costly. Synthesis of an almost unlimited number of organic compounds covering as much of chemistry space as possible is no longer the most cost-effective and time-saving approach to hit identification. Creating libraries by using biological target structure to inform chemical design, facilitated by quantum advances in structural genomics and computational capabilities, is a smarter, more efficient way to produce good initial leads. Considering solubility, permeability, and other druglike properties early in library design and introducing both target and lead structural constraints in lead development are further ways to ensure that more compounds make it to trial. Anyone interested in learning how to develop more effective libraries faster and cheaper, as well as learning from case studies where informed design in conjunction with novel assay development has been successful, should attend this meeting.

Organized by:

Cambridge Healthtech Institute

Invited Speakers:

SCIENTIFIC ADVISORS
Dr. Kevin Burgess, Texas A&M University
Dr. Adam Golebiowski, Procter & Gamble Pharmaceuticals
Dr. Alexander Tropsha, University of North Carolina at Chapel Hill

DRUG LIKE CHARACTERISTICS AND BIOLOGICAL RELEVANCE IN LIBRARY DESIGN
Keynote Presentation:
Constructing Combinatorial Library Filters: "Rule of 5" and More
Dr. Christopher A. Lipinski, Pfizer Global Research and Development
Chemical versus Pharmacological Diversity
Dr. Paul Beroza, Telik, Inc.
Accurate Prediction of Aqueous Solubility
Dr. Robert S. DeWitte, Advanced Chemistry Development

TARGET-FOCUSED LIBRARY DESIGN AND SCREENING FOR LEAD IDENTIFICATION
Dynamic Combinatorial Chemistry
Dr. Alexey V. Eliseev, State University of New York at Buffalo
Small Molecules for Large Interactions
Dr. Alexander Doemling, Morphochem AG
Exploring Receptor Recognition and Recognition Mimetics Using Epitope Randomization
Dr. Irwin Chaiken, University of Pennsylvania
Systematic Diversity Scan and Selective Lead Evolution on Chemical Microarrays
Dr. Günther Metz, Graffinity GmbH

LIBRARY DESIGN AND SCREENING FOR SMALL MOLECULE LEAD IDENTIFICATION
Combinatorial Lead Discovery of Antimicrobial Oxazolidinones
Dr. Gary W. Luehr, Versicor, Inc.
Identification of Better JAK Kinase Inhibitors with Cell-Based Assays
Dr. Benjamin E. Rich, Brigham and Women's Hospital
Combinatorial Chemistry in Chemosensory Molecular Discovery
Dr. Klaus Gubernator, Senomyx, Inc.

COMPUTATIONALLY DRIVEN LIBRARY DESIGN TO LEAD DISCOVERY
Development and Validation of Predictive QSAR Models
Dr. Alexander Tropsha, University of North Carolina at Chapel Hill
Computationally Driven, High-Throughput Lead Discovery Using Predictive Substructural Analysis
Dr. Cedric Merlot, Serono Pharmaceutical Research Institute
MCS (Multipole Coupling Spectroscopy™) in Drug Discovery
Dr. David Spellmeyer, Signature BioScience, Inc.

Deadline for Abstracts:

January 11, 2001

Registration:

http://www.chidb.com/2002/mld/mld_form.htm

E-mail:

fvargus@healthtech.com

Posted by:

Frederick Vargus

Host:

wks253.healthtech.com