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How to Illuminate the Druggable Genome Using Pharos

机译：如何使用法罗斯照亮可药剂基因组

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摘要

Pharos is an integrated web‐based informatics platform for the 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, but also 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 less 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 canserve as novel targets in drug discovery. Two basic protocols illustrate the levels of detail available for targets and several methods of finding targets of interest. An Alternate Protocol illustrates the difference in available knowledge between less and more studied targets.
机译：Pharos是一个集成的基于网络的信息学平台，用于分析由曝光的可药物基因组（IDG）知识管理中心，普通基金倡议的融合汇总的数据。目前的Pharos版本（截至2019年10月）跨越20,244名蛋白质在人蛋白质组中，19,880例疾病和表型关联，以及226,829种Chembl化合物。此资源不仅会驻地分析和分析来自60多个高质量资源的数据来生成这些类型，而且还使用文本索引来查找目标之间的明显连接，最近开始与生成数据和资源的机构进行协作。蛋白质根据基于知识的分类系统进行排序，这可以帮助研究人员识别可能进一步照明的“黑暗”目标。这是药物发现和目标验证的一个重要过程，因为更多的知识可以加速目标鉴定，并且先前将蛋白质驯鹿作为药物发现中的新靶标。两个基本协议说明了可用于目标的细节水平和发现感兴趣目标的几种方法。替代协议说明了在更少和更多研究的目标之间的可用知识的差异。

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