How to Illuminate the Druggable Genome Using Pharos.
How to Illuminate the Druggable Genome Using Pharos.
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DOI：
10.1002/cpbi.92
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发表时间：
2020-03
影响因子：
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通讯作者：
Oprea TI
中科院分区：
文献类型：
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作者：
Sheils T;Mathias SL;Siramshetty VB;Bocci G;Bologa CG;Yang JJ;Waller A;Southall N;Nguyen DT;Oprea TI
Pharos是一个集成的基于网络的信息平台，用于分析由美国国立卫生研究院共同基金倡议的可药用基因组照明（IDG）知识管理中心汇总的数据。目前版本的Pharos（截至2019年10月）涵盖了人类蛋白质组中的20，244种蛋白质，19，880种疾病和表型关联以及226，829种ChEMBL化合物。该资源不仅整理和分析了来自60多个高质量资源的数据，以生成这些类型，它还使用文本索引来查找目标之间不太明显的联系，并且最近开始与生成数据和资源的机构合作。根据基于知识的分类系统对蛋白质进行排名，这可以帮助研究人员识别研究较少的“黑暗”目标，这些目标可能会被进一步照亮。这对于药物发现和靶点验证都是一个重要的过程，因为更多的知识可以加速靶点识别，而以前研究不足的蛋白质可以作为药物发现的新靶点。两个基本的协议进行了讨论，说明了各种层次的详细目标，并找到感兴趣的目标的几种方法。一个替代协议是用来说明之间的差异较少和良好的研究目标的可用知识。
Pharos is an integrated web-based informatics platform for analysis of data aggregated by the Illuminating the Druggable Genome (IDG) Knowledge Management Center, an NIH Common Fund initiative. The current version of Pharos (as of October 2019) spans 20,244 proteins in the human proteome, 19,880 disease and phenotype associations and 226,829 ChEMBL compounds. This resource not only collates and analyzes data from over 60 high quality resources to generate these types, it uses text indexing to find less apparent connections between targets and has recently begun to collaborate with institutions that generate data and resources. Proteins are ranked according to a knowledge-based classification system, which can help researchers to identify lesser studied “dark” targets that could be potentially further illuminated. This is an important process for both drug discovery and target validation, as more knowledge can accelerate target identification, and previously understudied proteins can serve as novel targets in drug discovery. Two basic protocols are discussed that illustrate the various levels of detail available for targets, and several methods of finding targets of interest. An Alternate Protocol is used to illustrate the difference of available knowledge between lesser and well-studied targets.