Modeling of protein interaction networks
A. Vazquez, A. Flammini, A. Maritan, A. Vespignani
Abstract
We introduce a graph generating model aimed at representing the evolution of protein interaction networks. The model is based on the hypotesis of evolution by duplications and divergence of the genes which produce proteins. The obtained graphs shows multifractal properties recovering the absence of a characteristic connectivity as found in real data of protein interaction networks. The error tolerance of the model to random or targeted damage is in very good agreement with the behavior obtained in real protein networks analysis. The proposed model is a first step in the identification of the evolutionary dynamics leading to the development of protein functions and interactions.
Create a lesson
Related papers
Universal Boolean Computation in Negatively Coupled Circle Map Lattices
Priyanka D. Bhoyar, Prashant M. Gade
Developing the Statistical Mechanics of Evolving Assembly Spaces
Anisha K. Yeddanapudi, Abhishek Sharma, Ian Seet et al.
Ergodicity breaking transition beyond qubits
Tanay Pathak, Abhik Kumar Saha
Extended-range percolation on lattices with cubic and non-compact neighborhoods in three dimensions
Zhe Zhang, Yuxuan Fan, Yang Yang et al.
Competitive scaling of small-subsystem-optimization heuristics for LABS
Ginger E. Lau, Adil A. Gangat
IceCube data for astrophysical neutrinos exhibit q-statistical behavior
Constantino Tsallis, Ugur Tirnakli