To measure is to know: an approach to CADD performance metrics

被引：16

作者：

Loughney, Deborah ^{[1
]}

Claus, Brian L. ^{[1
]}

Johnson, Stephen R. ^{[1
]}

机构：

[1] Bristol Myers Squibb, Comp Assisted Drug Design Mol Sci & Candidate Opt, Princeton, NJ 08543 USA

来源：

DRUG DISCOVERY TODAY | 2011年 / 16卷 / 13-14期

关键词：

PRODUCTIVITY; DISCOVERY;

D O I：

10.1016/j.drudis.2011.05.003

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

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.

引用

页码：548 / 554

页数：7

共 14 条

[1] Do metrics matter? [J].