Proceedings

Day 3 - Thursday, October 10, 2001

ThOA
Predictive Models for Drug Discovery Screening

A number of protocols for early drug discovery screening are being developed to identify the most promising drug candidates for eventual development. These predictive models, for early determinations of pharmaceutical properties, can serve to help eliminate drug candidates with inadequate properties as well as to guide the synthesis for optimizing drug candidates with the highest likelihood of development success. This session will discuss the "gradient" of predictive models for selecting the better lead compounds for early drug discovery using primarily high-throughput mass spectrometry detection methods. Initially, high throughput techniques for drug screening for lead compounds will be described, followed by in vitro metabolite characterization for the selection of the better lead compounds and, finally, predictive models for tissue metabolism using organ perfusion methods to identify, from a cellular perspective, the most desirable metabolic profile for lead selection.

Predictive Method for Drug Discovery:
Screening Using Fourier Transform Mass Spectrometry

Metabolism Models for Drug Discovery:
Metabolite ID, Metabolite Profiling, Stability, Inhibiition

Predictive Models for Tissue Metabolism-Screening Using Organ Perfusion Methods

Roundtable Discussion 8

ThOB
Technology Transfer:
Drug Discovery to Drug Development Perspectives

As pharmaceutical companies strive to discover and develop drugs faster and more efficiently, effective technology transfer becomes increasingly important. Reduced timelines necessitate that knowledge be passed effectively from team to team as development proceeds from discovery through manufacturing - there is no time to repeat work that was done but not captured or transferred. Additionally, in order to improve the quality of discovery leads there is a concerted effort throughout the industry to increase lead candidate developability and survivability. This requires bi-directional technology/knowledge transfer between discovery and development scientists. In this session, colleagues spanning discovery and development from industry and government labs will discuss the effective transfer of technology and knowledge from technical, informatics, and collaborator perspectives.

Pre-clinical Lead Optimization and Candidate Selection:
Developability Perspective

The Impact of NMR Technology in Drug Discovery and Development

Mechanisms, Resources and Opportunities for Collaboration in the Development of Therapeutics

Automating Laboratory Data Management Practices for Improved Knowledge Transfer in Drug Discovery and Product Development

Roundtable Discussion 9

ThOC
Emerging Technologies

Pharmaceutical companies are continually searching for new technologies that may accelerate drug discovery and development. This session will focus on recent advances in LC/MS (including developments in serial and parallel sample introduction, new ion source and mass analyzer designs) and their application to the discovery, optimization and development of new drug molecules.

Fluidic Pulsing as an Ultra Fast Serial Sample Introduction System

Emerging LC/MS/MS Technologies for Accelerating Drug Discovery and Development