Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity.
Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity.
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DOI：
10.1002/wsbm.1222
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发表时间：
2013-07
影响因子：
7.9
通讯作者：
Ropella, Glen E. P.
中科院分区：
文献类型：
--
作者：
Hunt, C. Anthony;Kennedy, Ryan C.;Kim, Sean H. J.;Ropella, Glen E. P.
制药研发(R&D)企业内部持续酝酿着一场危机：尽管科技不断取得巨大进步，但随着成本的上升，生产率仍在持续下降。为了扭转这一趋势，我们对扩展和更广泛地采用建模和仿真(M&S)方法提出了各种建议。我们建议旨在支持新的M&S用例的策略和场景，这些用例直接参与研发知识的生成并建立可操作的机械洞察力，从而打开提高生产率的大门。M&S必须满足哪些要求才能进入和打开大门，并开始扭转生产率下降的局面？现有的方法和工具能满足需求吗，还是需要新的方法？我们参考相关的最新文献来提供和探索答案。在这样做的过程中，我们确定了基于代理的方法和其他方法的基本、关键角色。我们为M&S收集了一份必要的需求清单，以满足从研究、评论和观点文章中提炼出来的不同需求。我们认为，为了充分发挥其潜力，M&S应该在一个更大的信息技术框架--一个动态的知识库--中实现，在这个框架中，各种类型的模型会随着时间的推移执行、演变和提高精度。我们提供了一些必须解决的问题的细节，这样一个存储库才能获得扭转生产率下降所需的能力。©2013 Wiley期刊，Inc.
A crisis continues to brew within the pharmaceutical research and development (R&D) enterprise: productivity continues declining as costs rise, despite ongoing, often dramatic scientific and technical advances. To reverse this trend, we offer various suggestions for both the expansion and broader adoption of modeling and simulation (M&S) methods. We suggest strategies and scenarios intended to enable new M&S use cases that directly engage R&D knowledge generation and build actionable mechanistic insight, thereby opening the door to enhanced productivity. What M&S requirements must be satisfied to access and open the door, and begin reversing the productivity decline? Can current methods and tools fulfill the requirements, or are new methods necessary? We draw on the relevant, recent literature to provide and explore answers. In so doing, we identify essential, key roles for agent-based and other methods. We assemble a list of requirements necessary for M&S to meet the diverse needs distilled from a collection of research, review, and opinion articles. We argue that to realize its full potential, M&S should be actualized within a larger information technology framework—a dynamic knowledge repository—wherein models of various types execute, evolve, and increase in accuracy over time. We offer some details of the issues that must be addressed for such a repository to accrue the capabilities needed to reverse the productivity decline. © 2013 Wiley Periodicals, Inc.
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影响因子：
3.8
作者：
An, Gary;Bartels, John;Vodovotz, Yoram
通讯作者：
Vodovotz, Yoram
DOI：
10.1073/pnas.072081299
发表时间：
2002-05-14
影响因子：
11.1
作者：
Bankes, SC
通讯作者：
Bankes, SC
影响因子：
3.1
作者：
Bousquet, F;Le Page, C
通讯作者：
Le Page, C
影响因子：
3.1
作者：
An, G
通讯作者：
An, G
影响因子：
7.9
作者：
An, Gary;Mi, Qi;Dutta-Moscato, Joyeeta;Vodovotz, Yoram
通讯作者：
Vodovotz, Yoram