Literature DB >> 28069634

A review of connectivity map and computational approaches in pharmacogenomics.

Aliyu Musa1, Laleh Soltan Ghoraie2, Shu-Dong Zhang3, Galina Glazko4, Olli Yli-Harja5, Matthias Dehmer6, Benjamin Haibe-Kains2,7,8,9, Frank Emmert-Streib1.   

Abstract

Large-scale perturbation databases, such as Connectivity Map (CMap) or Library of Integrated Network-based Cellular Signatures (LINCS), provide enormous opportunities for computational pharmacogenomics and drug design. A reason for this is that in contrast to classical pharmacology focusing at one target at a time, the transcriptomics profiles provided by CMap and LINCS open the door for systems biology approaches on the pathway and network level. In this article, we provide a review of recent developments in computational pharmacogenomics with respect to CMap and LINCS and related applications.

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Year:  2018        PMID: 28069634      PMCID: PMC5952941          DOI: 10.1093/bib/bbw112

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  103 in total

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Journal:  Heart Dis       Date:  2002 Mar-Apr

5.  LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.

Authors:  Qiaonan Duan; Corey Flynn; Mario Niepel; Marc Hafner; Jeremy L Muhlich; Nicolas F Fernandez; Andrew D Rouillard; Christopher M Tan; Edward Y Chen; Todd R Golub; Peter K Sorger; Aravind Subramanian; Avi Ma'ayan
Journal:  Nucleic Acids Res       Date:  2014-06-06       Impact factor: 16.971

6.  A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping.

Authors:  Qing Wen; Chang-Sik Kim; Peter W Hamilton; Shu-Dong Zhang
Journal:  BMC Bioinformatics       Date:  2016-05-11       Impact factor: 3.169

7.  L1000CDS2: LINCS L1000 characteristic direction signatures search engine.

Authors:  Qiaonan Duan; St Patrick Reid; Neil R Clark; Zichen Wang; Nicolas F Fernandez; Andrew D Rouillard; Ben Readhead; Sarah R Tritsch; Rachel Hodos; Marc Hafner; Mario Niepel; Peter K Sorger; Joel T Dudley; Sina Bavari; Rekha G Panchal; Avi Ma'ayan
Journal:  NPJ Syst Biol Appl       Date:  2016-08-04

8.  A simple and robust method for connecting small-molecule drugs using gene-expression signatures.

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9.  Functional Module Connectivity Map (FMCM): a framework for searching repurposed drug compounds for systems treatment of cancer and an application to colorectal adenocarcinoma.

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