Suppr超能文献

为老药寻找新用途:公共部门药物研发的有效途径。

Finding new tricks for old drugs: an efficient route for public-sector drug discovery.

作者信息

O'Connor Kerry A, Roth Bryan L

机构信息

Department of Biochemistry, Comprehensive Cancer Center and National Institute of Mental Health Psychoactive Drug Screening Program, 2109 Adelbert Road, Case Western Reserve University Medical School, Cleveland, Ohio 44106, USA.

出版信息

Nat Rev Drug Discov. 2005 Dec;4(12):1005-14. doi: 10.1038/nrd1900.

Abstract

With the annotation of the human genome approaching completion, public-sector researchers - spurred in part by various National Institutes of Health Roadmap Initiatives - have become increasingly engaged in drug discovery and development efforts. Although large and diverse chemical libraries of 'drug-like' compounds can be readily screened to yield chemically novel scaffolds, transforming these 'chemical probes' into drugs is a daunting endeavour. A more efficient approach involves screening libraries of approved and off-patent medications; both phenotypic- and molecular target-based screening of 'old drugs' can readily yield compounds that could be immediately used in clinical trials. Using case studies, we describe how this approach has rapidly identified candidate medications suitable for clinical trials in disorders such as progressive multifocal leukoencephalopathy and amyotrophic lateral sclerosis. This approach has also led to the discovery of the molecular targets responsible for serious drug side effects, thereby allowing efficient 'counter-screening' to avoid these side effects.

摘要

随着人类基因组注释工作接近完成,受美国国立卫生研究院各项路线图计划的部分推动,公共部门的研究人员越来越多地参与到药物发现和开发工作中。尽管可以轻松筛选大量多样的“类药物”化合物化学文库,以产生化学上新颖的骨架,但将这些“化学探针”转化为药物是一项艰巨的任务。一种更有效的方法是筛选已批准和专利过期的药物文库;对“老药”进行基于表型和分子靶点的筛选都可以轻松产生可立即用于临床试验的化合物。通过案例研究,我们描述了这种方法如何迅速确定了适合在进行性多灶性白质脑病和肌萎缩侧索硬化症等疾病中进行临床试验的候选药物。这种方法还导致发现了导致严重药物副作用的分子靶点,从而实现了有效的“反向筛选”以避免这些副作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验