A network view of disease and compound screening. Export

@article{citeulike:4260844, abstract = {The large-scale generation and integration of genomic, proteomic, signalling and metabolomic data are increasingly allowing the construction of complex networks that provide a new framework for understanding the molecular basis of physiological or pathophysiological states. Network-based drug discovery aims to harness this knowledge to investigate and understand the impact of interventions, such as candidate drugs, on the molecular networks that define these states. In this article, we describe how such an approach offers a novel way to understand biology, characterize disease and ultimately develop improved therapies, and discuss the challenges to realizing these goals.}, author = {Schadt, Eric E. and Friend, Stephen H. and Shaywitz, David A.}, citeulike-article-id = {4260844}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrd2826}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrd2826}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19337271}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19337271}, doi = {10.1038/nrd2826}, issn = {1474-1784}, journal = {Nature reviews. Drug discovery}, keywords = {drug\_discovery, network}, month = {April}, number = {4}, pages = {286--295}, posted-at = {2009-06-07 18:00:38}, priority = {2}, publisher = {Nature Publishing Group}, title = {A network view of disease and compound screening.}, url = {http://dx.doi.org/10.1038/nrd2826}, volume = {8}, year = {2009} }

TY - JOUR ID - citeulike:4260844 L3 - citeulike-article-id:4260844 N2 - The large-scale generation and integration of genomic, proteomic, signalling and metabolomic data are increasingly allowing the construction of complex networks that provide a new framework for understanding the molecular basis of physiological or pathophysiological states. Network-based drug discovery aims to harness this knowledge to investigate and understand the impact of interventions, such as candidate drugs, on the molecular networks that define these states. In this article, we describe how such an approach offers a novel way to understand biology, characterize disease and ultimately develop improved therapies, and discuss the challenges to realizing these goals. IS - 4 JF - Nature reviews. Drug discovery SN - 1474-1784 EP - 295 TI - A network view of disease and compound screening. PB - Nature Publishing Group VL - 8 SP - 286 KW - drug_discovery KW - network AU - Schadt, Eric AU - Friend, Stephen AU - Shaywitz, David PY - 2009/04// UR - http://dx.doi.org/10.1038/nrd2826 ER -