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通往“更优”药物的基因组“路线图”。

A genomic "roadmap" to "better" drugs.

作者信息

Liao Guochun, Zhang Xun, Clark David J, Peltz Gary

机构信息

Department of Genetics & Genomics, Roche Palo Alto, Palo Alto, California 94304-1397, USA.

出版信息

Drug Metab Rev. 2008;40(2):225-39. doi: 10.1080/03602530801952815.

Abstract

Utilization of pharmacogenomic information has the potential to significantly improve treatment outcome and markedly reduce the rate of attrition of drugs in clinical development. A major gap that limits our ability to utilize pharmacogenomic information in drug discovery, drug development or clinical practice is that we often do not know the genetic variants responsible for inter-individual differences in drug metabolism or drug response. We examine emerging genomic methods that can fill this gap; these methods can be used to generate new information about drug metabolism or mechanism of action, or to identify predictors of drug response. Although they have not yet had their full impact, a wider application of these emerging genomic technologies has the potential to significantly improve the safety of drugs, the quality of patient care and the efficiency of clinical drug development.

摘要

利用药物基因组学信息有潜力显著改善治疗效果,并大幅降低临床开发中药物的淘汰率。限制我们在药物发现、药物开发或临床实践中利用药物基因组学信息能力的一个主要差距在于,我们常常不知道导致个体间药物代谢或药物反应差异的基因变异。我们研究了能够填补这一差距的新兴基因组学方法;这些方法可用于生成有关药物代谢或作用机制的新信息,或识别药物反应的预测指标。尽管这些新兴基因组技术尚未产生全面影响,但更广泛地应用它们有潜力显著提高药物安全性、患者护理质量以及临床药物开发效率。

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