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
下载PDF
{"title":"如何利用Pharos照亮可用药基因组","authors":"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","doi":"10.1002/cpbi.92","DOIUrl":null,"url":null,"abstract":"<p>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.</p><p><b>Basic Protocol 1</b>: Search for a target and view details</p><p><b>Alternate Protocol</b>: Search for dark target and view details</p><p><b>Basic Protocol 2</b>: Filter a target list to get refined results</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.92","citationCount":"23","resultStr":"{\"title\":\"How to Illuminate the Druggable Genome Using Pharos\",\"authors\":\"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\",\"doi\":\"10.1002/cpbi.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p><p><b>Basic Protocol 1</b>: Search for a target and view details</p><p><b>Alternate Protocol</b>: Search for dark target and view details</p><p><b>Basic Protocol 2</b>: Filter a target list to get refined results</p>\",\"PeriodicalId\":10958,\"journal\":{\"name\":\"Current protocols in bioinformatics\",\"volume\":\"69 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/cpbi.92\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current protocols in bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 23
引用
批量引用