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数据整合:药物研发面临的挑战

Data integration: challenges for drug discovery.

作者信息

Searls David B

机构信息

Bioinformatics Division, Genetics Research, GlaxoSmithKline Pharmaceuticals, 709 Swedeland Road, P.O. Box 1539, King of Prussia, Pennsylvania 19406, USA.

出版信息

Nat Rev Drug Discov. 2005 Jan;4(1):45-58. doi: 10.1038/nrd1608.

Abstract

The effective integration of data and knowledge from many disparate sources will be crucial to future drug discovery. Data integration is a key element of conducting scientific investigations with modern platform technologies, managing increasingly complex discovery portfolios and processes, and fully realizing economies of scale in large enterprises. However, viewing data integration as simply an 'IT problem' underestimates the novel and serious scientific and management challenges it embodies - challenges that could require significant methodological and even cultural changes in our approach to data.

摘要

将来自许多不同来源的数据和知识进行有效整合,对于未来的药物研发至关重要。数据整合是利用现代平台技术进行科学研究、管理日益复杂的研发项目和流程以及在大型企业中充分实现规模经济的关键要素。然而,将数据整合仅仅视为一个“信息技术问题”,低估了它所带来的全新且严峻的科学和管理挑战——这些挑战可能需要我们在数据处理方法上甚至文化上做出重大改变。

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