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生物复杂性概论:药物发现的缺失环节

Introduction to biological complexity as a missing link in drug discovery.

机构信息

a AbbVie, Department of Integrative Pharmacology , Integrated Science and Technology , North Chicago , IL , USA.

b Molecular Cardiology, Institute of Life Sciences , Swansea University Medical School , Swansea , Wales , UK.

出版信息

Expert Opin Drug Discov. 2018 Aug;13(8):753-763. doi: 10.1080/17460441.2018.1480608. Epub 2018 Jun 6.

Abstract

Despite a burgeoning knowledge of the intricacies and mechanisms responsible for human disease, technological advances in medicinal chemistry, and more efficient assays used for drug screening, it remains difficult to discover novel and effective pharmacologic therapies. Areas covered: By reference to the primary literature and concepts emerging from academic and industrial drug screening landscapes, the authors propose that this disconnect arises from the inability to scale and integrate responses from simpler model systems to outcomes from more complex and human-based biological systems. Expert opinion: Further collaborative efforts combining target-based and phenotypic-based screening along with systems-based pharmacology and informatics will be necessary to harness the technological breakthroughs of today to derive the novel drug candidates of tomorrow. New questions must be asked of enabling technologies-while recognizing inherent limitations-in a way that moves drug development forward. Attempts to integrate mechanistic and observational information acquired across multiple scales frequently expose the gap between our knowledge and our understanding as the level of complexity increases. We hope that the thoughts and actionable items highlighted will help to inform the directed evolution of the drug discovery process.

摘要

尽管人们对导致人类疾病的复杂性和机制有了更多的了解,医学化学技术也有了进步,药物筛选的检测方法也更加高效,但要发现新的有效的药理疗法仍然很困难。

涵盖领域

通过参考主要文献和学术及工业药物筛选领域出现的概念,作者提出,这种脱节源于无法将更简单的模型系统的反应扩展并整合到更复杂和基于人体的生物系统的结果中。

专家意见

进一步的合作努力,结合基于靶标的和基于表型的筛选,以及基于系统的药理学和信息学,将是必要的,以利用当今的技术突破,获得明天的新型候选药物。在推动药物开发的过程中,必须以一种能够认识到固有局限性的方式,对赋予能力的技术提出新的问题。在多个尺度上获取的机制和观察信息的整合尝试经常暴露出随着复杂性增加,我们的知识和理解之间的差距。我们希望所强调的思路和可操作的事项将有助于告知药物发现过程的定向进化。

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