Computer-Assisted Drug Design, Molecular Sciences and Candidate Optimization, Bristol-Myers Squibb, PO Box 5400, Princeton, NJ 08543-5400, USA.
Drug Discov Today. 2011 Jul;16(13-14):548-54. doi: 10.1016/j.drudis.2011.05.003. Epub 2011 May 13.
With the financial and productivity challenges currently facing the pharmaceutical industry, there is constant pressure to justify resources and improve efficiency. With process-driven activities, understanding the contribution of these resources is reasonably straightforward. By contrast, measuring the contribution of knowledge workers is less obvious. Here, we present an impact-oriented approach to assessing the performance of an industrial computer-assisted drug design group. We discuss how these metrics are used to understand and optimize resource allocation in support of drug discovery programs.
随着制药行业当前面临的财务和生产力挑战，不断需要证明资源的合理性并提高效率。对于流程驱动的活动，理解这些资源的贡献是相当简单的。相比之下，衡量知识型员工的贡献就不那么明显了。在这里，我们提出了一种面向影响的方法来评估工业计算机辅助药物设计团队的绩效。我们讨论了如何使用这些指标来理解和优化资源分配，以支持药物发现计划。
