title: Morphisms of reaction networks that couple structure to function.
abstract: BACKGROUND
  The mechanisms underlying complex biological systems are routinely represented as networks. Network kinetics is widely studied, and so is the connection between network structure and behavior. However, similarity of mechanism is better revealed by relationships between network structures.
  
  
  RESULTS
  We define morphisms (mappings) between reaction networks that establish structural connections between them. Some morphisms imply kinetic similarity, and yet their properties can be checked statically on the structure of the networks. In particular we can determine statically that a complex network will emulate a simpler network: it will reproduce its kinetics for all corresponding choices of reaction rates and initial conditions. We use this property to relate the kinetics of many common biological networks of different sizes, also relating them to a fundamental population algorithm.
  
  
  CONCLUSIONS
  Structural similarity between reaction networks can be revealed by network morphisms, elucidating mechanistic and functional aspects of complex networks in terms of simpler networks.
authors.affiliation: Microsoft Research, 21 Station Road, Cambridge CB1 2FB, UK. luca@microsoft.com.
authors.forename: Luca
authors.initials: L
authors.lastname: Cardelli
mesh_terms: D000465:Algorithms; D002453:Cell Cycle; D007700:Kinetics; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*