title: Process-based network decomposition reveals backbone motif structure.
abstract: A central challenge in systems biology today is to understand the network of interactions among biomolecules and, especially, the organizing principles underlying such networks. Recent analysis of known networks has identified small motifs that occur ubiquitously, suggesting that larger networks might be constructed in the manner of electronic circuits by assembling groups of these smaller modules. Using a unique process-based approach to analyzing such networks, we show for two cell-cycle networks that each of these networks contains a giant backbone motif spanning all the network nodes that provides the main functional response. The backbone is in fact the smallest network capable of providing the desired functionality. Furthermore, the remaining edges in the network form smaller motifs whose role is to confer stability properties rather than provide function. The process-based approach used in the above analysis has additional benefits: It is scalable, analytic (resulting in a single analyzable expression that describes the behavior), and computationally efficient (all possible minimal networks for a biological process can be identified and enumerated).
authors.affiliation: Department of Physics, George Washington University, Washington, DC 20052, USA.
authors.forename: Guanyu
authors.initials: G
authors.lastname: Wang
authors.forename: Chenghang
authors.initials: C
authors.lastname: Du
authors.forename: Hao
authors.initials: H
authors.lastname: Chen
authors.forename: Rahul
authors.initials: R
authors.lastname: Simha
authors.forename: Yongwu
authors.initials: Y
authors.lastname: Rong
authors.forename: Yi
authors.initials: Y
authors.lastname: Xiao
authors.forename: Chen
authors.initials: C
authors.lastname: Zeng
mesh_terms: D002453:Cell Cycle; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000378:metabolism; D012568:Schizosaccharomyces / Q000166:cytology / Q000378:metabolism; D049490:Systems Biology / Q000379:methods*