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药物分析:了解作用部位。

Drug profiling: knowing where it hits.

机构信息

Conway Institute of Biomolecular & Biomedical Research, School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland.

出版信息

Drug Discov Today. 2010 Sep;15(17-18):749-56. doi: 10.1016/j.drudis.2010.06.006. Epub 2010 Jun 18.

DOI:10.1016/j.drudis.2010.06.006
PMID:20601095
Abstract

Off-target hits of drugs can lead to serious adverse effects or, conversely, to unforeseen alternative medical utility. Selectivity profiling against large panels of potential targets is essential for the drug discovery process to minimize attrition and maximize therapeutic utility. Lately, it has become apparent that drug promiscuity (polypharmacology) goes well beyond target families; therefore, lowering the profiling costs and expanding the coverage of targets is an industry-wide challenge to improve predictions. Here, we review current and promising drug profiling alternatives and commercial solutions in these exciting emerging fields.

摘要

药物的脱靶作用可能导致严重的不良反应,或者相反地产生意想不到的其他医学用途。针对大量潜在靶点进行选择性分析对于药物发现过程至关重要,可最大限度地减少损耗并提高治疗效果。最近,药物的混杂性(多药理学)显然远远超出了靶家族的范围;因此,降低分析成本并扩大靶点覆盖范围是提高预测能力的全行业挑战。在这里,我们回顾了当前和有前途的药物分析替代方法和商业解决方案,这些方法和解决方案在这些令人兴奋的新兴领域中具有广阔的前景。

相似文献

1
Drug profiling: knowing where it hits.药物分析:了解作用部位。
Drug Discov Today. 2010 Sep;15(17-18):749-56. doi: 10.1016/j.drudis.2010.06.006. Epub 2010 Jun 18.
2
The need for a biological registration system.对生物注册系统的需求。
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Improving drug discovery with contextual assays and cellular systems analysis.通过情境分析和细胞系统分析改进药物发现。
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Unveiling the role of network and systems biology in drug discovery.揭示网络和系统生物学在药物发现中的作用。
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High-throughput electronic biology: mining information for drug discovery.高通量电子生物学:挖掘药物发现信息。
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Data is the currency of R&D, and that currency is now generated and traded globally.数据是研发的货币,而且这种货币如今在全球范围内产生和交易。
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Finding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it.在系统生物学时代,利用多个有效的药物靶点、表型筛选和转运体知识寻找新的药物:药物发现出错的地方以及如何修复。
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Systems biology impact on antiepileptic drug discovery.系统生物学对抗癫痫药物研发的影响。
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Molecular modeling and structure-based drug discovery approach reveals protein kinases as off-targets for novel anticancer drug RH1.分子建模和基于结构的药物发现方法揭示蛋白激酶是新型抗癌药物 RH1 的非靶标。
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