Literature DB >> 22889966

Applications of Connectivity Map in drug discovery and development.

Xiaoyan A Qu1, Deepak K Rajpal.   

Abstract

Genome-wide expression profiling of gene transcripts has been successfully applied in biomedical discovery for over a decade. Based on the premises of this technology, Connectivity Map provides a data-driven and systematic approach for discovering associations among genes, chemicals and biological conditions such as diseases. Since its first introduction in 2006, the approach has shown emerging promises in uncovering avenues for drug discovery and development such as in identifying and suggesting new indications for existing drugs and elucidating mode of actions for novel chemicals in addition to potentially predicting side effects.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22889966     DOI: 10.1016/j.drudis.2012.07.017

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  89 in total

1.  Connectivity map identifies HDAC inhibition as a treatment option of high-risk hepatoblastoma.

Authors:  Alexander Beck; Corinna Eberherr; Michaela Hagemann; Stefano Cairo; Beate Häberle; Christian Vokuhl; Dietrich von Schweinitz; Roland Kappler
Journal:  Cancer Biol Ther       Date:  2016-09-16       Impact factor: 4.742

2.  Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms.

Authors:  Yanjun Ding; Taotao Li; Xinwei Yan; Mintian Cui; Chao Wang; Situo Wang; Fengmin Zhang; Ruijie Zhang
Journal:  Mol Genet Genomics       Date:  2021-01-28       Impact factor: 3.291

Review 3.  A review of connectivity map and computational approaches in pharmacogenomics.

Authors:  Aliyu Musa; Laleh Soltan Ghoraie; Shu-Dong Zhang; Galina Glazko; Olli Yli-Harja; Matthias Dehmer; Benjamin Haibe-Kains; Frank Emmert-Streib
Journal:  Brief Bioinform       Date:  2018-05-01       Impact factor: 11.622

Review 4.  The neuroimmune transcriptome and alcohol dependence: potential for targeted therapies.

Authors:  Anna Warden; Emma Erickson; Gizelle Robinson; R Adron Harris; R Dayne Mayfield
Journal:  Pharmacogenomics       Date:  2016-12-05       Impact factor: 2.533

5.  The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.

Authors:  Santiago Vilar; George Hripcsak
Journal:  Brief Bioinform       Date:  2017-07-01       Impact factor: 11.622

Review 6.  Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders.

Authors:  Neelroop N Parikshak; Michael J Gandal; Daniel H Geschwind
Journal:  Nat Rev Genet       Date:  2015-07-07       Impact factor: 53.242

7.  Connectivity Map-based discovery of parbendazole reveals targetable human osteogenic pathway.

Authors:  Andrea M Brum; Jeroen van de Peppel; Cindy S van der Leije; Marijke Schreuders-Koedam; Marco Eijken; Bram C J van der Eerden; Johannes P T M van Leeuwen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-29       Impact factor: 11.205

Review 8.  Toward better drug repositioning: prioritizing and integrating existing methods into efficient pipelines.

Authors:  Guangxu Jin; Stephen T C Wong
Journal:  Drug Discov Today       Date:  2013-11-14       Impact factor: 7.851

Review 9.  Role of the ERO1-PDI interaction in oxidative protein folding and disease.

Authors:  Andrea G Shergalis; Shuai Hu; Armand Bankhead; Nouri Neamati
Journal:  Pharmacol Ther       Date:  2020-03-20       Impact factor: 12.310

10.  Connectivity mapping (ssCMap) to predict A20-inducing drugs and their antiinflammatory action in cystic fibrosis.

Authors:  Beth Malcomson; Hollie Wilson; Eleonora Veglia; Gayathri Thillaiyampalam; Ruth Barsden; Shauna Donegan; Amal El Banna; Joseph S Elborn; Madeleine Ennis; Catriona Kelly; Shu-Dong Zhang; Bettina C Schock
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-10       Impact factor: 11.205

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