title: Nonspecific binding limits the number of proteins in a cell and shapes their interaction networks.
abstract: Multicellular organisms, from Caenorhabditis elegans to humans, have roughly the same number of protein encoding genes. We show that the need to prevent disease-causing nonspecific interactions between proteins provides a simple physical reason why organism complexity is not reflected in the number of distinct proteins. By collective evolution of the amino acid sequences of protein binding interfaces we estimate the degree of misbinding as a function of the number of distinct proteins. Protein interaction energies are calculated with an empirical, residue-specific energy function tuned for protein binding. We show that the achievable energy gap favoring specific over nonspecific binding decreases with protein number in a power-law fashion. From the fraction of proteins involved in nonspecific complexes as a function of increasing protein number and decreasing energy gap, we predict the limits these binding requirements place on the number of different proteins that can function effectively in a given cellular compartment. Remarkably, the optimization of binding interfaces favors networks in which a few proteins have many partners, and most proteins have few partners, consistent with a scale-free network topology. We conclude that nonspecific binding adds to the evolutionary pressure to develop scale-free protein-protein interaction networks.
authors.affiliation: Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, USA.
authors.forename: Margaret E
authors.initials: ME
authors.lastname: Johnson
authors.forename: Gerhard
authors.initials: G
authors.lastname: Hummer
mesh_terms: D000818:Animals; D017173:Caenorhabditis elegans; D005656:Fungal Proteins / Q000737:chemistry; D016678:Genome; D006801:Humans; D007700:Kinetics; D015233:Models, Statistical; D011485:Protein Binding; D025941:Protein Interaction Mapping; D020543:Proteome; D040901:Proteomics / Q000379:methods; D013696:Temperature; D013816:Thermodynamics
chemical_list: D005656:Fungal Proteins; D020543:Proteome