title: Systems biological approaches to the cardiac signaling network.
abstract: Recent systems biological studies of cardiac systems have greatly advanced our understanding of cardiac physiology with a particular focus on the excitation-contraction coupling. With these advancements, there is a growing interest in systems analysis of the cardiac signaling network because its dynamical property is closely associated with cardiac diseases. In this article, we review recent attempts at computational modeling of the cardiac signaling network and provide a system-level perspective on the analysis of the large-scale cardiac signaling network. We discuss why the systems biological approach is useful and what novel insights it can provide for the development of personalized therapeutic strategies for cardiac diseases in the post-genomic era.
authors.forename: Jun Hyuk
authors.initials: JH
authors.lastname: Kang
authors.forename: Ho-Sung
authors.initials: HS
authors.lastname: Lee
authors.forename: Yun-Won
authors.initials: YW
authors.lastname: Kang
authors.forename: Kwang-Hyun
authors.initials: KH
authors.lastname: Cho
mesh_terms: D023281:Genomics; D006801:Humans; D015398:Signal Transduction
keywords: cardiac signaling network; heart failure; mathematical modeling; molecular dynamics analysis; personalized therapy; systems biology