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Network-based discovery through mechanistic systems biology. Implications for applications - SMEs and drug discovery: where the action is

机译:通过机械系统生物学进行基于网络的发现。对应用的影响-中小企业和药物开发:行动在哪里

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摘要

Phase II attrition remains the most important challenge for drug discovery. Tackling the problem requires improved understanding of the complexity of disease biology. Systems biology approaches to this problem can, in principle, deliver this. This article reviews the reports of the application of mechanistic systems models to drug discovery questions and discusses the added value. Although we are on the journey to the virtual human, the length, path and rate of learning from this remain an open question. Success will be dependent on the will to invest and make the most of the insight generated along the way.
机译:II期损耗仍然是药物开发面临的最重要挑战。解决该问题需要更好地了解疾病生物学的复杂性。原则上,系统生物学方法可以解决此问题。本文回顾了有关将机械系统模型应用于药物发现问题的报告,并讨论了附加值。尽管我们正在迈向虚拟人类,但从中学习的时间,途径和速度仍然是一个悬而未决的问题。成功将取决于投资意愿并充分利用在此过程中产生的见解。

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