Literature DB >> 22977007

Drug interaction networks: an introduction to translational and clinical applications.

Francisco Azuaje1.   

Abstract

This article introduces fundamental concepts to guide the analysis and interpretation of drug-target interaction networks. An overview of the generation and integration of interaction networks is followed by key strategies for extracting biologically meaningful information. The article highlights how this information can enable novel translational and clinically motivated applications. Important advances for the discovery of new treatments and for the detection of adverse drug effects are discussed. Examples of applications and findings originating from cardiovascular research are presented. The review ends with a discussion of crucial challenges and opportunities.

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Year:  2012        PMID: 22977007     DOI: 10.1093/cvr/cvs289

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  10 in total

1.  From Molecules to Patients: The Clinical Applications of Translational Bioinformatics.

Authors:  K Regan; P R O Payne
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Toward a complete dataset of drug-drug interaction information from publicly available sources.

Authors:  Serkan Ayvaz; John Horn; Oktie Hassanzadeh; Qian Zhu; Johann Stan; Nicholas P Tatonetti; Santiago Vilar; Mathias Brochhausen; Matthias Samwald; Majid Rastegar-Mojarad; Michel Dumontier; Richard D Boyce
Journal:  J Biomed Inform       Date:  2015-04-24       Impact factor: 6.317

3.  Interaction network among functional drug groups.

Authors:  Minho Lee; Keunwan Park; Dongsup Kim
Journal:  BMC Syst Biol       Date:  2013-10-16

4.  From data gathering to systems medicine.

Authors:  Manuel Mayr
Journal:  Cardiovasc Res       Date:  2013-02-05       Impact factor: 10.787

5.  Concordance and predictive value of two adverse drug event data sets.

Authors:  Aurel Cami; Ben Y Reis
Journal:  BMC Med Inform Decis Mak       Date:  2014-08-22       Impact factor: 2.796

Review 6.  Mitochondrial targets for pharmacological intervention in human disease.

Authors:  Ramy H Malty; Matthew Jessulat; Ke Jin; Gabriel Musso; James Vlasblom; Sadhna Phanse; Zhaolei Zhang; Mohan Babu
Journal:  J Proteome Res       Date:  2014-12-12       Impact factor: 4.466

Review 7.  Changing Trends in Computational Drug Repositioning.

Authors:  Jaswanth K Yella; Suryanarayana Yaddanapudi; Yunguan Wang; Anil G Jegga
Journal:  Pharmaceuticals (Basel)       Date:  2018-06-05

Review 8.  A review of computational drug repurposing.

Authors:  Kyungsoo Park
Journal:  Transl Clin Pharmacol       Date:  2019-06-28

9.  Identification of TNIK as a novel potential drug target in thyroid cancer based on protein druggability prediction.

Authors:  Yi-Fei Yang; Bin Yu; Xiu-Xia Zhang; Yun-Hua Zhu
Journal:  Medicine (Baltimore)       Date:  2021-04-23       Impact factor: 1.817

Review 10.  Drug repositioning: A bibliometric analysis.

Authors:  Guojun Sun; Dashun Dong; Zuojun Dong; Qian Zhang; Hui Fang; Chaojun Wang; Shaoya Zhang; Shuaijun Wu; Yichen Dong; Yuehua Wan
Journal:  Front Pharmacol       Date:  2022-09-26       Impact factor: 5.988

  10 in total

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