Efficient and Effective Compound Management to Support Lead Optimization

被引:5
|
作者
Johnson, Chad W. [1 ]
Chatterjee, Moneesh [1 ]
Kubala, Steve [1 ]
Helm, David [1 ]
Houston, John [1 ]
Banks, Martyn [1 ]
机构
[1] Bristol Myers Squibb Co, Dept Appl Biotechnol, Hopewell, NJ 08534 USA
关键词
compound management; lead optimization; Lean Six Sigma; local storage; TECHNOLOGY; DISCOVERY;
D O I
10.1177/1087057109335747
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The introduction of lean thinking and Six Sigma methodologies into the drug discovery process has become an important approach for ensuring efficient workflows while containing costs. For the compound management department at BristolMyers Squibb, this has resulted in a partnership with the research community to evaluate and streamline processes to enable cost-disciplined science. The authors describe the results of Lean Six Sigma approaches in the automation and informatics environment that have been optimized to support parallel processing of compounds. This new platform facilitates the rapid and simultaneous data generation from structure activity and structure liability assays. As a result of these compound management improvements, reduction of timelines and quicker decision making has been achieved in the lead optimization process. (Journal of Biomolecular Screening 2009: 523-530)
引用
收藏
页码:523 / 530
页数:8
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