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计算机辅助药物设计医学:设计是能治愈我疾病的良方。

CADD medicine: design is the potion that can cure my disease.

作者信息

Manas Eric S, Green Darren V S

机构信息

Department of Computational and Modeling Sciences, GlaxoSmithKline, Collegeville, PA, 19426, USA.

Department of Computational and Modeling Sciences, GlaxoSmithKline, Stevenage, Hertfordshire, SG1 2NY, UK.

出版信息

J Comput Aided Mol Des. 2017 Mar;31(3):249-253. doi: 10.1007/s10822-016-0004-3. Epub 2017 Jan 9.

Abstract

The acronym "CADD" is often used interchangeably to refer to "Computer Aided Drug Discovery" and "Computer Aided Drug Design". While the former definition implies the use of a computer to impact one or more aspects of discovering a drug, in this paper we contend that computational chemists are most effective when they enable teams to apply true design principles as they strive to create medicines to treat human disease. We argue that teams must bring to bear multiple sub-disciplines of computational chemistry in an integrated manner in order to utilize these principles to address the multi-objective nature of the drug discovery problem. Impact, resourcing principles, and future directions for the field are also discussed, including areas of future opportunity as well as a cautionary note about hype and hubris.

摘要

首字母缩写词“CADD”经常被交替用来指代“计算机辅助药物发现”和“计算机辅助药物设计”。虽然前一种定义意味着使用计算机来影响药物发现的一个或多个方面,但在本文中我们认为,计算化学家在使团队能够应用真正的设计原则以努力创造治疗人类疾病的药物时最为有效。我们认为,团队必须以综合的方式运用计算化学的多个子学科,以便利用这些原则来解决药物发现问题的多目标性质。本文还讨论了该领域的影响、资源配置原则和未来方向,包括未来的机会领域以及关于炒作和傲慢的警示。

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