title: Statistically enhanced promiscuity of structurally correlated patterns.
abstract: We predict that patterns with correlated surface density of atoms have statistically higher promiscuity (ability to bind stronger to an arbitrary pattern) as compared with noncorrelated patterns with the same average surface density. We suggest that this constitutes a generic design principle for highly connected proteins (hubs) in protein interaction networks. We develop an analytical theory for this effect. We show that our key predictions are generic and independent, qualitatively, on the specific form of the interatomic interaction potential, provided it has a finite range.
authors: Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
authors: D B
authors: DB
authors: Lukatsky
authors: E I
authors: EI
authors: Shakhnovich
mesh_terms: D003198:Computer Simulation; D008956:Models, Chemical; D015233:Models, Statistical; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000737:chemistry*; D013223:Statistics as Topic
chemical_list: D011506:Proteins