title: Efficient and effective compound management to support lead optimization.
abstract: 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 Bristol-Myers 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.
authors.affiliation: Department of Applied Biotechnology, Bristol-Myers Squibb Company, Hopewell, New Jersey 08534, USA. chad.johnson@bms.com
authors.forename: Chad W
authors.initials: CW
authors.lastname: Johnson
authors.forename: Moneesh
authors.initials: M
authors.lastname: Chatterjee
authors.forename: Steve
authors.initials: S
authors.lastname: Kubala
authors.forename: David
authors.initials: D
authors.lastname: Helm
authors.forename: John
authors.initials: J
authors.lastname: Houston
authors.forename: Martyn
authors.initials: M
authors.lastname: Banks
mesh_terms: D001331:Automation; D020650:Combinatorial Chemistry Techniques / Q000191:economics / Q000379:methods; D055808:Drug Discovery / Q000191:economics / Q000379:methods; D004345:Drug Industry / Q000191:economics / Q000379:methods / Q000458:organization & administration; D017598:Efficiency, Organizational; D012984:Software; D013997:Time Factors