Journal article
The impact of network biology in pharmacology and toxicology
Department of Systems Biology, Technical University of Denmark1
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark2
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3
CFB - Metagenomic Systems Biology, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4
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.
Language: | English |
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Publisher: | Taylor & Francis Group |
Year: | 2012 |
Pages: | 221-235 |
ISSN: | 1029046x and 1062936x |
Types: | Journal article |
DOI: | 10.1080/1062936X.2012.657237 |
00530, General biology - Information, documentation, retrieval and computer applications 12512, Pathology - Therapy 22002, Pharmacology - General 22501, Toxicology - General and methods Computational Biology Computer Applications Information Studies Pharmacology SDG 3 - Good Health and Well-being Toxicology bioinformatics analysis mathematical and computer techniques biomedical researcher computer software package computer software disease progress drug discovery existing medication efficacy comparison existing medication safety comparison global integrative approach mathematical and computer techniques large-scale database molecule property network biology impact omics area risk assessment clinical techniques, diagnostic techniques small molecules