title: High-order combination effects and biological robustness.
abstract: Biological systems are robust, in that they can maintain stable phenotypes under varying conditions or attacks. Biological systems are also complex, being organized into many functional modules that communicate through interlocking pathways and feedback mechanisms. In these systems, robustness and complexity are linked because both qualities arise from the same underlying mechanisms. When perturbed by multiple attacks, such complex systems become fragile in both theoretical and experimental studies, and this fragility depends on the number of agents applied. We explore how this relationship can be used to study the functional robustness of a biological system using systematic high-order combination experiments. This presents a promising approach toward many biomedical and bioengineering challenges. For example, high-order experiments could determine the point of fragility for pathogenic bacteria and might help identify optimal treatments against multi-drug resistance. Such studies would also reinforce the growing appreciation that biological systems are best manipulated not by targeting a single protein, but by modulating the set of many nodes that can selectively control a system's functional state.
authors.affiliation: Discovery, CombinatoRx Inc., Cambridge, MA 02142, USA. jlehar@alum.mit.edu
authors.forename: Joseph
authors.initials: J
authors.lastname: Lehár
authors.forename: Andrew
authors.initials: A
authors.lastname: Krueger
authors.forename: Grant
authors.initials: G
authors.lastname: Zimmermann
authors.forename: Alexis
authors.initials: A
authors.lastname: Borisy
mesh_terms: D000818:Animals; D003198:Computer Simulation; D025461:Feedback, Physiological; D053263:Gene Regulatory Networks; D005838:Genotype; D006706:Homeostasis; D006801:Humans; D008957:Models, Genetic; D009154:Mutation; D010641:Phenotype