The impact of network biology in pharmacology and toxicology

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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With the need to investigate alternative approaches and emerging technologies in order to increase drug efficacy and reduce adverse drug effects, network biology offers a novel way of approaching drug discovery by considering the effect of a molecule and protein's function in a global physiological environment. By studying drug action across multiple scales of complexity, from molecular to cellular and tissue level, network-based computational methods have the potential to improve our understanding of the impact of chemicals in human health. In this review we present the available large-scale databases and tools that allow integration and analysis of such information for understanding the properties of small molecules in the context of cellular networks. With the recent advances in the omics area, global integrative approaches are necessary to cope with the massive amounts of data, and biomedical researchers are urged to implement new types of analyses that can lead to new therapeutic interventions with increased safety and efficacy compared with existing medications.
Original languageEnglish
JournalS A R and Q S A R in Environmental Research
Issue number3-4, Sp. Iss. SI
Pages (from-to)221-235
StatePublished - 2012
CitationsWeb of Science® Times Cited: 15


  • biomedical researcher, disease progress, drug discovery, existing medication efficacy comparison, existing medication safety comparison, large-scale database, molecule property, network biology impact, omics area, small molecules, 00530, General biology - Information, documentation, retrieval and computer applications, 12512, Pathology - Therapy, 22002, Pharmacology - General, 22501, Toxicology - General and methods, Computational Biology, bioinformatics analysis mathematical and computer techniques, computer software package computer software, global integrative approach mathematical and computer techniques, risk assessment clinical techniques, diagnostic techniques, Computer Applications, Information Studies, Pharmacology, Toxicology
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ID: 9666143