Literature DB >> 20117850

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

Albert Pujol1, Roberto Mosca, Judith Farrés, Patrick Aloy.   

Abstract

Network and systems biology offer a novel way of approaching drug discovery by developing models that consider the global physiological environment of protein targets, and the effects of modifying them, without losing the key molecular details. Here we review some recent advances in network and systems biology applied to human health, and discuss how they can have a big impact on some of the most interesting areas of drug discovery. In particular, we claim that network biology will play a central part in the development of novel polypharmacology strategies to fight complex multifactorial diseases, where efficacious therapies will need to center on altering entire pathways rather than single proteins. We briefly present new developments in the two areas where we believe network and system biology strategies are more likely to have an immediate contribution: predictive toxicology and drug repurposing. 2009 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20117850     DOI: 10.1016/j.tips.2009.11.006

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  111 in total

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2.  An integrated network platform for contextual prioritization of drugs and pathways.

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3.  Recycling side-effects into clinical markers for drug repositioning.

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Journal:  Genome Med       Date:  2012-01-27       Impact factor: 11.117

Review 4.  Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.

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5.  iFad: an integrative factor analysis model for drug-pathway association inference.

Authors:  Haisu Ma; Hongyu Zhao
Journal:  Bioinformatics       Date:  2012-05-10       Impact factor: 6.937

Review 6.  Proof of concept: network and systems biology approaches aid in the discovery of potent anticancer drug combinations.

Authors:  Asfar S Azmi; Zhiwei Wang; Philip A Philip; Ramzi M Mohammad; Fazlul H Sarkar
Journal:  Mol Cancer Ther       Date:  2010-11-01       Impact factor: 6.261

7.  Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS).

Authors:  Rong Xu; Quanqiu Wang
Journal:  J Biomed Inform       Date:  2013-10-28       Impact factor: 6.317

8.  The reductionist paradox: are the laws of chemistry and physics sufficient for the discovery of new drugs?

Authors:  Gerald M Maggiora
Journal:  J Comput Aided Mol Des       Date:  2011-06-23       Impact factor: 3.686

9.  tcTKB: an integrated cardiovascular toxicity knowledge base for targeted cancer drugs.

Authors:  Rong Xu; QuanQiu Wang
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

Review 10.  Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.

Authors:  Yen Sia Low; Alexander Yeugenyevich Sedykh; Ivan Rusyn; Alexander Tropsha
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

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