title: Logic modeling and the ridiculome under the rug.
abstract: Logic-derived modeling has been used to map biological networks and to study arbitrary functional interactions, and fine-grained kinetic modeling can accurately predict the detailed behavior of well-characterized molecular systems; at present, however, neither approach comes close to unraveling the full complexity of a cell. The current data revolution offers significant promises and challenges to both approaches - and could bring them together as it has spurred the development of new methods and tools that may help to bridge the many gaps between data, models, and mechanistic understanding.
authors.affiliation: Center for Cell Analysis and Modeling, University of Connecticut Health Center, Cell and Genome Sciences Building, 400 Farmington Ave, Farmington, CT 06030-6406, USA.
authors.forename: Michael L
authors.initials: ML
authors.lastname: Blinov
authors.forename: Ion I
authors.initials: II
authors.lastname: Moraru
mesh_terms: D003198:Computer Simulation; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012984:Software; D013597:Systems Analysis; D049490:Systems Biology / Q000379:methods*