Literature DB >> 22283977

Recycling side-effects into clinical markers for drug repositioning.

Miquel Duran-Frigola1, Patrick Aloy.   

Abstract

Side-effects are the unintended consequence of therapeutic treatments, but they can also be seen as valuable read-outs of drug effects in humans; these effects are difficult to infer or predict from pre-clinical models. Indeed, some studies suggest that drugs with similar side-effect profiles may also share therapeutic properties through related mechanisms of action. A recent publication exploits this concept to systematically investigate new indications for already marketed drugs, and presents a strategy to get the most out of the tiny portion of chemicals that have proved to be effective and safe.

Entities:  

Year:  2012        PMID: 22283977      PMCID: PMC3334551          DOI: 10.1186/gm302

Source DB:  PubMed          Journal:  Genome Med        ISSN: 1756-994X            Impact factor:   11.117


  10 in total

Review 1.  Unveiling the role of network and systems biology in drug discovery.

Authors:  Albert Pujol; Roberto Mosca; Judith Farrés; Patrick Aloy
Journal:  Trends Pharmacol Sci       Date:  2010-02-01       Impact factor: 14.819

2.  The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Authors:  Justin Lamb; Emily D Crawford; David Peck; Joshua W Modell; Irene C Blat; Matthew J Wrobel; Jim Lerner; Jean-Philippe Brunet; Aravind Subramanian; Kenneth N Ross; Michael Reich; Haley Hieronymus; Guo Wei; Scott A Armstrong; Stephen J Haggarty; Paul A Clemons; Ru Wei; Steven A Carr; Eric S Lander; Todd R Golub
Journal:  Science       Date:  2006-09-29       Impact factor: 47.728

3.  Drug target identification using side-effect similarity.

Authors:  Monica Campillos; Michael Kuhn; Anne-Claude Gavin; Lars Juhl Jensen; Peer Bork
Journal:  Science       Date:  2008-07-11       Impact factor: 47.728

Review 4.  Network pharmacology: the next paradigm in drug discovery.

Authors:  Andrew L Hopkins
Journal:  Nat Chem Biol       Date:  2008-11       Impact factor: 15.040

Review 5.  The productivity crisis in pharmaceutical R&D.

Authors:  Fabio Pammolli; Laura Magazzini; Massimo Riccaboni
Journal:  Nat Rev Drug Discov       Date:  2011-06       Impact factor: 84.694

Review 6.  How were new medicines discovered?

Authors:  David C Swinney; Jason Anthony
Journal:  Nat Rev Drug Discov       Date:  2011-06-24       Impact factor: 84.694

Review 7.  Class effects of tyrosine kinase inhibitors in the treatment of chronic myeloid leukemia.

Authors:  F J Giles; M O'Dwyer; R Swords
Journal:  Leukemia       Date:  2009-05-28       Impact factor: 11.528

8.  PREDICT: a method for inferring novel drug indications with application to personalized medicine.

Authors:  Assaf Gottlieb; Gideon Y Stein; Eytan Ruppin; Roded Sharan
Journal:  Mol Syst Biol       Date:  2011-06-07       Impact factor: 11.429

9.  Systematic drug repositioning based on clinical side-effects.

Authors:  Lun Yang; Pankaj Agarwal
Journal:  PLoS One       Date:  2011-12-21       Impact factor: 3.240

10.  A side effect resource to capture phenotypic effects of drugs.

Authors:  Michael Kuhn; Monica Campillos; Ivica Letunic; Lars Juhl Jensen; Peer Bork
Journal:  Mol Syst Biol       Date:  2010-01-19       Impact factor: 11.429

  10 in total
  19 in total

1.  Towards drug repositioning: a unified computational framework for integrating multiple aspects of drug similarity and disease similarity.

Authors:  Ping Zhang; Fei Wang; Jianying Hu
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

2.  PhenoPredict: A disease phenome-wide drug repositioning approach towards schizophrenia drug discovery.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2015-07-04       Impact factor: 6.317

3.  Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2015-03-27       Impact factor: 6.317

4.  Prediction of Novel Drugs and Diseases for Hepatocellular Carcinoma Based on Multi-Source Simulated Annealing Based Random Walk.

Authors:  S Jafar Ali Ibrahim; M Thangamani
Journal:  J Med Syst       Date:  2018-09-01       Impact factor: 4.460

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

6.  Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

Authors:  QuanQiu Wang; Rong Xu
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

7.  Combining automatic table classification and relationship extraction in extracting anticancer drug-side effect pairs from full-text articles.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2014-10-13       Impact factor: 6.317

8.  A chemo-centric view of human health and disease.

Authors:  Miquel Duran-Frigola; David Rossell; Patrick Aloy
Journal:  Nat Commun       Date:  2014-12-01       Impact factor: 14.919

9.  Construction of drug network based on side effects and its application for drug repositioning.

Authors:  Hao Ye; Qi Liu; Jia Wei
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

10.  Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data.

Authors:  Yongcui Wang; Shilong Chen; Naiyang Deng; Yong Wang
Journal:  PLoS One       Date:  2013-11-11       Impact factor: 3.240

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