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利用集成计算化学和信息学助力药物发现项目决策。

Enabling drug discovery project decisions with integrated computational chemistry and informatics.

作者信息

Tsui Vickie, Ortwine Daniel F, Blaney Jeffrey M

机构信息

Discovery Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.

出版信息

J Comput Aided Mol Des. 2017 Mar;31(3):287-291. doi: 10.1007/s10822-016-9988-y. Epub 2016 Oct 31.

Abstract

Computational chemistry/informatics scientists and software engineers in Genentech Small Molecule Drug Discovery collaborate with experimental scientists in a therapeutic project-centric environment. Our mission is to enable and improve pre-clinical drug discovery design and decisions. Our goal is to deliver timely data, analysis, and modeling to our therapeutic project teams using best-in-class software tools. We describe our strategy, the organization of our group, and our approaches to reach this goal. We conclude with a summary of the interdisciplinary skills required for computational scientists and recommendations for their training.

摘要

基因泰克小分子药物研发部门的计算化学/信息学科学家和软件工程师,在以治疗项目为中心的环境中与实验科学家合作。我们的使命是推动并改进临床前药物研发的设计与决策。我们的目标是使用一流的软件工具,为我们的治疗项目团队提供及时的数据、分析和建模。我们阐述了我们的策略、团队组织架构以及实现这一目标的方法。最后,我们总结了计算科学家所需的跨学科技能,并对他们的培训提出了建议。

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