The modular architecture of protein-protein interaction (PPI) networks is evident in diverse species with a wide range of complexity. However, the molecular components that lead to the evolution of modularity in PPI networks have not been clearly identified. Here, we show that weak domain-linear motif interactions (DLIs) are more likely to connect different biological modules than strong domain...

Protein-protein interaction (PPI) networks carry vital information on the organization of molecular interactions in cellular systems. The identification of functionally relevant modules in PPI networks is one of the most important applications of biological network analysis. Computational analysis is becoming an indispensable tool to understand large-scale biomolecular interaction networks. Sev...

Protein-protein interaction (PPI) networks are the backbone of all processes in living cells. In this work we investigate how gene conservation, essentiality and functional repertoire are reflected in the connectivity k of the corresponding proteins in the PPI networks of 42 evolutionarily unrelated bacterial species. We investigate three issues: i) the degree distribution and densities of the ...

Understanding the evolution and structure of protein-protein interaction (PPI) networks is a central problem of systems biology. Since most processes in the cell are carried out by groups of proteins acting together, a theoretical model of how PPI networks develop based on duplications and mutations is an essential ingredient for understanding the complex wiring of the cell. Many different netw...

We model the evolution of eukaryotic protein-protein interaction (PPI) networks. In our model, PPI networks evolve by two known biological mechanisms: (1) Gene duplication, which is followed by rapid diversification of duplicate interactions. (2) Neofunctionalization, in which a mutation leads to a new interaction with some other protein. Since many interactions are due to simple surface compat...

Protein-protein interaction (PPI) networks provide insights into understanding of biological processes, function and the underlying complex evolutionary mechanisms of the cell. Modeling PPI network is an important and fundamental problem in system biology, where it is still of major concern to find a better fitting model that requires less structural assumptions and is more robust against the l...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 the physical interaction of proteins which lead to compiling them into large densely connected networks is a noticeable subject to investigation. protein interaction networks are useful because of making basic scientific abstraction and improving biological and biomedical applications. based on principle roles of proteins ...

MOTIVATION Protein-protein interaction (PPI) networks are a valuable resource for the interpretation of genomics data. However, such networks have interaction enrichment biases for proteins that are often studied. These biases skew quantitative results from comparing PPI networks with genomics data. Here, we introduce an approach named physical interaction enrichment (PIE) to eliminate these bi...

In molecular biology, comparison of multiple Protein Protein Interaction (PPI) networks to extract subnetworks that are conserved during evolution across di↵erent species is helpful for studying complex cellular machinery. Most e↵orts produce promising results in creating alignments that show large regions of biological or topological similarity between the PPI networks of various species, but ...

Genomic duplication-divergence events, which are the primary source of new protein functions, occur stochastically at a wide range of genomic scales, from single gene to whole genome duplications. Clearly, this fundamental evolutionary process must have largely conditioned the emerging structure of proteinprotein interaction (PPI) networks, that control many cellular activities. We propose and ...