数据集成技术:药物发现过程中尚未实现的革命?

Brian Donnelly
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引用次数: 9

摘要

成功的生命科学数据整合是当今研究人员和生物信息学家面临的一项复杂的壮举。它要求无缝访问、整合和查询前所未有的大量不同的生物数据,以提高新药发现的速度和有效性。本文概述了可用于帮助实现这一壮举的技术的当前状态。它探讨了创造这些挑战的进化过程,以及一些技术创新的基础,这些创新正在努力克服这些挑战。总之,这些技术旨在通过加强对生命科学数据的理解和解释来改变药物研发的面貌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data integration technologies: an unfulfilled revolution in the drug discovery process?

Successful life science data integration is a complex feat facing today's researchers and bioinformaticians. It demands the seamless access, integration and query of unprecedented amounts of disparate biological data to advance the pace and effectiveness of new drug discovery. This article outlines the current state of technologies available to help achieve this feat. It explores the evolutionary processes that created these challenges, and the underpinnings of several technological innovations working to overcome them. Together, these technologies aim to change the face of drug R&D through an enhanced understanding and interpretation of life sciences data.

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