How to Illuminate the Druggable Genome Using Pharos

Q1 Biochemistry, Genetics and Molecular Biology
Timothy Sheils, Stephen L. Mathias, Vishal B. Siramshetty, Giovanni Bocci, Cristian G. Bologa, Jeremy J. Yang, Anna Waller, Noel Southall, Dac-Trung Nguyen, Tudor I. Oprea
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引用次数: 23

Abstract

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 can serve 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. © 2020 by John Wiley & Sons, Inc.

Basic Protocol 1: Search for a target and view details

Alternate Protocol: Search for dark target and view details

Basic Protocol 2: Filter a target list to get refined results

如何利用Pharos照亮可用药基因组
Pharos是一个基于网络的综合信息平台,用于分析由NIH共同基金倡议的照亮可药物基因组(IDG)知识管理中心汇总的数据。当前版本的Pharos(截至2019年10月)涵盖了人类蛋白质组中的20,244种蛋白质,19880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。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研究较少的“黑暗”目标,这些目标可能会进一步被照亮。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的识别,并且以前未被充分研究的蛋白质可以作为药物发现的新靶点。两个基本协议说明了可用于目标的详细程度和寻找感兴趣目标的几种方法。备选方案说明了较少和较多研究目标之间现有知识的差异。©2020 by John Wiley &基本协议1:搜索目标并查看详细信息备用协议:搜索暗目标并查看详细信息基本协议2:过滤目标列表以获得精炼结果
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来源期刊
Current protocols in bioinformatics
Current protocols in bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
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期刊介绍: With Current Protocols in Bioinformatics, it"s easier than ever for the life scientist to become "fluent" in bioinformatics and master the exciting new frontiers opened up by DNA sequencing. Updated every three months in all formats, CPBI is constantly evolving to keep pace with the very latest discoveries and developments.
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