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药物重定位治疗运动障碍:从偶然发现到合理的发现策略。

Drug repositioning for treatment of movement disorders: from serendipity to rational discovery strategies.

机构信息

Department of Measurement and Information Systems, Budapest University of Technology and Economics H-1521, Budapest, Magyar tudosok krt. 2, Hungary.

出版信息

Curr Top Med Chem. 2013;13(18):2337-63. doi: 10.2174/15680266113136660164.

Abstract

Movement disorders are a heterogeneous group of both common and rare neurological conditions characterized by abnormalities of motor functions and movement patterns. This work overviews recent successes and ongoing studies of repositioning relating to this disease group, which underscores the challenge of integrating the voluminous and heterogeneous findings required for making suitable drug repositioning decisions. In silico drug repositioning methods hold the promise of automated fusion of heterogeneous information sources, but the controllable, flexible and transparent incorporation of the expertise of medicinal chemists throughout the repositioning process remains an open challenge. In support of a more systematic approach toward repositioning, we summarize the application of a computational repurposing method based on statistically rooted knowledge fusion. To foster the spread of this technique, we provide a step-by-step guide to the complete workflow, together with a case study in Parkinson's disease.

摘要

运动障碍是一组常见和罕见的神经疾病,其特征为运动功能和运动模式的异常。这项工作综述了与该疾病群组相关的药物重定位的最新成功和正在进行的研究,这突显了整合大量和异质的发现以做出适当的药物重定位决策的挑战。基于计算机的药物重定位方法有望自动融合异构信息源,但在整个重定位过程中可控、灵活和透明地纳入药物化学家的专业知识仍然是一个未解决的挑战。为了支持更系统的药物重定位方法,我们总结了基于基于统计知识融合的计算药物重定位方法的应用。为了促进该技术的传播,我们提供了一个完整工作流程的分步指南,以及帕金森病的案例研究。

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