%0 Journal Article %1 WOS:000293454200002 %A Schneider, Christian M %A de Arcangelis, Lucilla %A Herrmann, Hans J %C ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA %D 2011 %I AMER PHYSICAL SOC %J PHYSICAL REVIEW E %K imported %N 1, 2 %R 10.1103/PhysRevE.84.016112 %T Modeling the topology of protein interaction networks %V 84 %X A major issue in biology is the understanding of the interactions between proteins. These interactions can be described by a network, where the proteins are modeled by nodes and the interactions by edges. The origin of these protein networks is not well understood yet. Here we present a two-step model, which generates clusters with the same topological properties as networks for protein-protein interactions, namely, the same degree distribution, cluster size distribution, clustering coefficient, and shortest path length. The biological and model networks are not scale-free but exhibit small-world features. The model allows the fitting of different biological systems by tuning a single parameter.

@article{WOS:000293454200002, abstract = {A major issue in biology is the understanding of the interactions between proteins. These interactions can be described by a network, where the proteins are modeled by nodes and the interactions by edges. The origin of these protein networks is not well understood yet. Here we present a two-step model, which generates clusters with the same topological properties as networks for protein-protein interactions, namely, the same degree distribution, cluster size distribution, clustering coefficient, and shortest path length. The biological and model networks are not scale-free but exhibit small-world features. The model allows the fitting of different biological systems by tuning a single parameter.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA}, author = {Schneider, Christian M and de Arcangelis, Lucilla and Herrmann, Hans J}, biburl = {https://www.bibsonomy.org/bibtex/2d609f58d1483c498729568faae36b2ad/ppgfis_ufc_br}, doi = {10.1103/PhysRevE.84.016112}, interhash = {7316f7d1667d5e7d53c90d00c99d4e74}, intrahash = {d609f58d1483c498729568faae36b2ad}, issn = {1539-3755}, journal = {PHYSICAL REVIEW E}, keywords = {imported}, number = {1, 2}, publisher = {AMER PHYSICAL SOC}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {Modeling the topology of protein interaction networks}, tppubtype = {article}, volume = 84, year = 2011 }