2015
DOI: 10.1002/wsbm.1323
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Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms

Abstract: Small molecules are indispensable to modern medical therapy. However, their use may lead to unintended, negative medical outcomes commonly referred to as adverse drug reactions (ADRs). These effects vary widely in mechanism, severity, and populations affected, making ADR prediction and identification important public health concerns. Current methods rely on clinical trials and post-market surveillance programs to find novel ADRs; however, clinical trials are limited by small sample size, while post-market surv… Show more

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Cited by 42 publications
(55 citation statements)
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References 111 publications
(179 reference statements)
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“…This risk can be acceptable for treating terminal diseases or chronic life-threatening infections but not for slowly progressive diseases that are not fatal or overly burdensome during a patient's normal lifespan. To minimize such drug side effects, recent approaches in systems biology can be used to characterize the molecular features of disease models used in both the early and later stages of drug development [1, 2]. Moreover, these technologies can be adapted to improve our understanding of the pharmacology of a starting molecule with respect to its possible off-target effects and therapeutic potential.…”
Section: Introductionmentioning
confidence: 99%
“…This risk can be acceptable for treating terminal diseases or chronic life-threatening infections but not for slowly progressive diseases that are not fatal or overly burdensome during a patient's normal lifespan. To minimize such drug side effects, recent approaches in systems biology can be used to characterize the molecular features of disease models used in both the early and later stages of drug development [1, 2]. Moreover, these technologies can be adapted to improve our understanding of the pharmacology of a starting molecule with respect to its possible off-target effects and therapeutic potential.…”
Section: Introductionmentioning
confidence: 99%
“…Several approaches have been proposed for predicting drug side effects (for reviews see [4,5]) and can be roughly divided into two groups. The first group of methods exploits the network structure of the bipartite graph connecting drugs to side effects and networks built from drug or side effect side information.…”
Section: Introductionmentioning
confidence: 99%
“…Conceptual representation in biomedicine is common for various purposes (Moskovitch et al, 2004; Boland et al, 2015). Representing multivariate temporal data using (conceptual) symbolic time intervals is becoming more common in the data mining literature too.…”
Section: Introductionmentioning
confidence: 99%