Hillisch Alexander, Heinrich Nikolaus, Wild Hanno
Bayer Pharma AG, Global Drug Discovery, Medicinal Chemistry, 42096, Wuppertal, Germany.
Bayer Pharma AG, Global Drug Discovery, Medicinal Chemistry, 13353, Berlin, Germany.
ChemMedChem. 2015 Dec;10(12):1958-62. doi: 10.1002/cmdc.201500346. Epub 2015 Sep 11.
Computational chemistry within the pharmaceutical industry has grown into a field that proactively contributes to many aspects of drug design, including target selection and lead identification and optimization. While methodological advancements have been key to this development, organizational developments have been crucial to our success as well. In particular, the interaction between computational and medicinal chemistry and the integration of computational chemistry into the entire drug discovery process have been invaluable. Over the past ten years we have shaped and developed a highly efficient computational chemistry group for small-molecule drug discovery at Bayer HealthCare that has significantly impacted the clinical development pipeline. In this article we describe the setup and tasks of the computational group and discuss external collaborations. We explain what we have found to be the most valuable and productive methods and discuss future directions for computational chemistry method development. We share this information with the hope of igniting interesting discussions around this topic.
制药行业中的计算化学已发展成为一个能积极推动药物设计诸多方面的领域,包括靶点选择、先导化合物的识别与优化。虽然方法学的进步是这一发展的关键,但组织发展对我们的成功也至关重要。特别是,计算化学与药物化学之间的相互作用以及将计算化学整合到整个药物发现过程中具有不可估量的价值。在过去十年中,我们在拜耳医疗保健公司组建并发展了一个高效的用于小分子药物发现的计算化学团队,该团队对临床开发流程产生了重大影响。在本文中,我们描述了计算团队的设置和任务,并讨论了外部合作。我们解释了我们认为最有价值和最有效的方法,并讨论了计算化学方法开发的未来方向。我们分享这些信息,希望能引发围绕这一主题的有趣讨论。