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Cardiac Systems Biology
Author(s) -
MCCULLOCH ANDREW D.,
PATERNOSTRO GIOVANNI
Publication year - 2005
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1341.025
Subject(s) - systems biology , computational biology , systems medicine , construct (python library) , complex disease , complex system , computer science , modelling biological systems , function (biology) , disease , biology , medicine , artificial intelligence , pathology , genetics , programming language
A bstract : As more detailed molecular information accumulates on the biology of the heart and other complex systems in health and disease, the need for new integrative analyses and tools is growing. Systems biology and bioengineering seek to use high‐throughput technologies and integrative computational analysis to construct networks of the interactions between molecular components in the system, to develop systems models of their functionally integrated biological properties, and to incorporate these systems models into structurally integrated multi‐scale models for predicting clinical phenotypes. This review gives examples of recent applications using these approaches to elucidate the electromechanical function of the heart in aging and disease.