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PharmGKB,一个综合性的药物基因组学知识库。

PharmGKB, an Integrated Resource of Pharmacogenomic Knowledge.

机构信息

Departments of Biomedical Data Science and Medicine (BMIR), Stanford University, Stanford, California.

出版信息

Curr Protoc. 2021 Aug;1(8):e226. doi: 10.1002/cpz1.226.


DOI:10.1002/cpz1.226
PMID:34387941
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8650697/
Abstract

The Pharmacogenomics Knowledgebase (PharmGKB) is an integrated online knowledge resource for the understanding of how genetic variation contributes to variation in drug response. Our focus includes not only pharmacogenomic information useful for clinical implementation (e.g., drug dosing guidelines and annotated drug labels), but also information to catalyze scientific research and drug discovery (e.g., variant-drug annotations and drug-centered pathways). As of April 2021, the annotated content of PharmGKB spans 715 drugs, 1761 genes, 227 diseases, 165 clinical guidelines, and 784 drug labels. We have manually curated data from more than 9000 published papers to generate the content of PharmGKB. Recently, we have also implemented an automated natural language processing (NLP) tool to broaden our coverage of the pharmacogenomic literature. This article contains a basic protocol describing how to navigate the PharmGKB website to retrieve information on how genes and genetic variations affect drug efficacy and toxicity. It also includes a protocol on how to use PharmGKB to facilitate interpretation of findings for a pharmacogenomic variant genotype or metabolizer phenotype. PharmGKB is freely available at http://www.pharmgkb.org. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Navigating the homepage of PharmGKB and searching by drug Basic Protocol 2: Using PharmGKB to facilitate interpretation of pharmacogenomic variant genotypes or metabolizer phenotypes.

摘要

《药物基因组学知识库 (PharmGKB)》是一个综合的在线知识资源,用于了解遗传变异如何导致药物反应的变化。我们的重点不仅包括对临床实施有用的药物基因组学信息(例如,药物剂量指南和带注释的药物标签),还包括促进科学研究和药物发现的信息(例如,变体药物注释和以药物为中心的途径)。截至 2021 年 4 月,PharmGKB 的注释内容涵盖了 715 种药物、1761 个基因、227 种疾病、165 种临床指南和 784 种药物标签。我们已经从 9000 多篇已发表的论文中手动整理数据,以生成 PharmGKB 的内容。最近,我们还实施了一种自动化自然语言处理 (NLP) 工具,以扩大我们对药物基因组学文献的覆盖范围。本文包含一个基本方案,介绍如何浏览 PharmGKB 网站以检索有关基因和遗传变异如何影响药物疗效和毒性的信息。它还包含一个方案,介绍如何使用 PharmGKB 来促进对药物基因组学变体基因型或代谢物表型的发现进行解释。PharmGKB 可在 http://www.pharmgkb.org 免费获取。© 2021 威利父子公司。基本方案 1:浏览 PharmGKB 主页并按药物搜索基本方案 2:使用 PharmGKB 促进药物基因组学变体基因型或代谢物表型的解释。

相似文献

[1]
PharmGKB, an Integrated Resource of Pharmacogenomic Knowledge.

Curr Protoc. 2021-8

[2]
PharmGKB and the International Warfarin Pharmacogenetics Consortium: the changing role for pharmacogenomic databases and single-drug pharmacogenetics.

Hum Mutat. 2008-4

[3]
PharmGKB: an integrated resource of pharmacogenomic data and knowledge.

Curr Protoc Bioinformatics. 2008-9

[4]
The PharmGKB: integration, aggregation, and annotation of pharmacogenomic data and knowledge.

Clin Pharmacol Ther. 2007-1

[5]
The education potential of the pharmacogenetics and pharmacogenomics knowledge base (PharmGKB).

Clin Pharmacol Ther. 2007-10

[6]
From pharmacogenomic knowledge acquisition to clinical applications: the PharmGKB as a clinical pharmacogenomic biomarker resource.

Biomark Med. 2011-12

[7]
PGxMine: Text mining for curation of PharmGKB.

Pac Symp Biocomput. 2020

[8]
PharmGKB Tutorial for Pharmacogenomics of Drugs Potentially Used in the Context of COVID-19.

Clin Pharmacol Ther. 2021-1

[9]
PharmGKB: the Pharmacogenomics Knowledge Base.

Methods Mol Biol. 2013

[10]
PharmGKB: A worldwide resource for pharmacogenomic information.

Wiley Interdiscip Rev Syst Biol Med. 2018-2-23

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本文引用的文献

[1]
PGxMine: Text mining for curation of PharmGKB.

Pac Symp Biocomput. 2020

[2]
Global Text Mining and Development of Pharmacogenomic Knowledge Resource for Precision Medicine.

Front Pharmacol. 2019-8-7

[3]
Mining heterogeneous network for drug repositioning using phenotypic information extracted from social media and pharmaceutical databases.

Artif Intell Med. 2019-3-9

[4]
PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison.

BMC Bioinformatics. 2019-4-18

[5]
eGARD: Extracting associations between genomic anomalies and drug responses from text.

PLoS One. 2017-12-20

[6]
Towards pathway curation through literature mining--a case study using PharmGKB.

Pac Symp Biocomput. 2014

[7]
Pharmacogenomics in early-phase clinical development.

Pharmacogenomics. 2013-7

[8]
Pharmacogenetics and pharmacogenomics: a bridge to individualized cancer therapy.

Pharmacogenomics. 2013-2

[9]
Pharmacogenomics knowledge for personalized medicine.

Clin Pharmacol Ther. 2012-10

[10]
Using PharmGKB to train text mining approaches for identifying potential gene targets for pharmacogenomic studies.

J Biomed Inform. 2012-5-4

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