Literature DB >> 16100408

PharmGKB: the pharmacogenetics and pharmacogenomics knowledge base.

Caroline F Thorn1, Teri E Klein, Russ B Altman.   

Abstract

The Pharmacogenetics and Pharmacogenomics Knowledge Base (PharmGKB) is an interactive tool for researchers investigating how genetic variation effects drug response. The PharmGKB web site, www.pharmgkb.org, displays genotype, molecular, and clinical primary data integrated with literature, pathway representations, protocol information, and links to additional external resources. Users can search and browse the knowledge base by genes, drugs, diseases, and pathways. Registration is free to the entire research community but subject to an agreement to respect the rights and privacy of the individuals whose information is contained within the database. Registered users can access and download primary data to aid in the design of future pharmacogenetics and pharmacogenomics studies.

Mesh:

Year:  2005        PMID: 16100408     DOI: 10.1385/1-59259-957-5:179

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  39 in total

Review 1.  Annotating individual human genomes.

Authors:  Ali Torkamani; Ashley A Scott-Van Zeeland; Eric J Topol; Nicholas J Schork
Journal:  Genomics       Date:  2011-08-02       Impact factor: 5.736

2.  Broad issues to consider for library involvement in bioinformatics.

Authors:  Renata C Geer
Journal:  J Med Libr Assoc       Date:  2006-07

Review 3.  Protein Bioinformatics Databases and Resources.

Authors:  Chuming Chen; Hongzhan Huang; Cathy H Wu
Journal:  Methods Mol Biol       Date:  2017

4.  Adoption of a clinical pharmacogenomics implementation program during outpatient care--initial results of the University of Chicago "1,200 Patients Project".

Authors:  Peter H O'Donnell; Keith Danahey; Michael Jacobs; Nisha R Wadhwa; Shennin Yuen; Angela Bush; Yasmin Sacro; Matthew J Sorrentino; Mark Siegler; William Harper; Andrea Warrick; Soma Das; Don Saner; Christopher L Corless; Mark J Ratain
Journal:  Am J Med Genet C Semin Med Genet       Date:  2014-03-10       Impact factor: 3.908

5.  Individualized chemotherapy for osteosarcoma and identification of gene mutations in osteosarcoma.

Authors:  Xin Xiao; Wei Wang; Haoqiang Zhang; Peng Gao; Bo Fan; Chen Huang; Jun Fu; Guojing Chen; Lei Shi; Haodong Zhu; Xiangdong Li; Jing Li; Hongbin Fan; Zhigang Wu; Zheng Guo; Yongcheng Hu; Sujia Wu; Xiuchun Yu; Cheng Xu; Zhen Wang
Journal:  Tumour Biol       Date:  2014-11-28

Review 6.  Harnessing Big Data for Systems Pharmacology.

Authors:  Lei Xie; Eli J Draizen; Philip E Bourne
Journal:  Annu Rev Pharmacol Toxicol       Date:  2016-10-13       Impact factor: 13.820

Review 7.  Implementing genotype-guided antithrombotic therapy.

Authors:  Richard L Seip; Jorge Duconge; Gualberto Ruaño
Journal:  Future Cardiol       Date:  2010-05

Review 8.  Personalized targeted therapy for esophageal squamous cell carcinoma.

Authors:  Xiaozheng Kang; Keneng Chen; Yicheng Li; Jianying Li; Thomas A D'Amico; Xiaoxin Chen
Journal:  World J Gastroenterol       Date:  2015-07-07       Impact factor: 5.742

9.  Relationship of ketamine's plasma metabolites with response, diagnosis, and side effects in major depression.

Authors:  Carlos A Zarate; Nancy Brutsche; Gonzalo Laje; David A Luckenbaugh; Swarajya L Vattem Venkata; Anuradha Ramamoorthy; Ruin Moaddel; Irving W Wainer
Journal:  Biol Psychiatry       Date:  2012-04-18       Impact factor: 13.382

10.  Dealing with the Data Deluge: Handling the Multitude Of Chemical Biology Data Sources.

Authors:  Rajarshi Guha; Dac-Trung Nguyen; Noel Southall; Ajit Jadhav
Journal:  Curr Protoc Chem Biol       Date:  2012-09-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.