GlaxoSmithKline, Computational Biology, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, UK.
Drug Discov Today. 2011 May;16(9-10):426-34. doi: 10.1016/j.drudis.2011.03.002. Epub 2011 Mar 21.
The application of translational approaches (e.g. from bed to bench and back) is gaining momentum in the pharmaceutical industry. By utilizing the rapidly increasing volume of data at all phases of drug discovery, translational bioinformatics is poised to address some of the key challenges faced by the industry. Indeed, computational analysis of clinical data and patient records has informed decision-making in multiple aspects of drug discovery and development. Here, we review key examples of translational bioinformatics approaches to emphasize its potential to enhance the quality of drug discovery pipelines, reduce attrition rates and, ultimately, lead to more effective treatments.
转化方法(例如从床边到实验室再回到床边)在制药行业中的应用正在获得动力。通过利用药物发现各个阶段不断增加的大量数据,转化生物信息学有望解决该行业面临的一些关键挑战。事实上,对临床数据和患者记录的计算分析已经为药物发现和开发的多个方面的决策提供了信息。在这里,我们回顾了转化生物信息学方法的一些关键示例,以强调其提高药物发现管道质量、降低淘汰率并最终带来更有效的治疗方法的潜力。