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The promise of genomics to identify novel therapeutic targets.

机译:基因组学鉴定新型治疗靶标的希望。

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The cataloguing of the human genome has provided an unprecedented prospectus for target identification and drug discovery. A current analysis indicates that slightly more than 3000 unique protein encoding loci are potentially amenable to pharmacological intervention (the 'druggable genome', which can be queried at http://function.gnf.org/druggable). However, the assessment of genome sequence data has not resulted in the anticipated acceleration of novel therapeutic developments. The basis for this shortfall lies in the significant attrition rates endemic to preclinical/clinical development, as well as the often underestimated complexity of gene function in higher order biological systems. To address the latter issue, a number of strategies have emerged to facilitate genomics-driven target identification and validation, including cellular profiling of gene function, in silico modelling of gene networks, and systematic analyses of protein complexes. The expectation is that the integration of these and other systems-based technologies may enable the conversion of potential genomic targets into functionally validated molecules, and result in practicable gene-based drug discovery pipelines.
机译:人类基因组的分类为目标识别和药物发现提供了前所未有的招股说明书。当前的分析表明,药理学干预可能会适应略多于3000个独特的蛋白质编码基因座(“药物基因组”,可在http://function.gnf.org/druggable处查询)。但是,对基因组序列数据的评估尚未导致新型治疗方法的预期加速。这种不足的基础在于临床前/临床发展所特有的高流失率,以及在高阶生物系统中基因功能经常被低估的复杂性。为了解决后一个问题,已经出现了许多策略,以促进由基因组学驱动的靶标的鉴定和验证,包括基因功能的细胞分析,基因网络的计算机模拟以及蛋白质复合物的系统分析。期望这些技术和其他基于系统的技术的集成可能使潜在的基因组靶标转化为经过功能验证的分子,并导致可行的基于基因的药物发现流程。

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