Construction method of novel biological network model

Abstract

The invention discloses a construction method of a novel biological network model for simulating biological evolution characteristics. The method disclosed by the invention is characterized by comprising the following steps: (1) initializing a biological network as follows: an initial network G0 comprising m0 initial nodes is preset, and the nodes in the initial network G0 are mutually communicated, wherein the m0 is a integer and is larger than or equal to 2 and less than 10; (2) increasing a new network node v in the preset unit time as follows: the newly increased node v selects and implements one of a structure domain recombination module, a copy variation module or a growth module according to a random probability r, wherein r meets the following conditions that r is larger than or equal to 0 and less than or equal to 1, and the sum of probabilities of the nodes selecting three models is 1; and (3) circularly and repeatedly carrying out the step (2) until the scale of the network reaches the expected scale. The network model constructed by the method disclosed by the invention has the characteristics of small world (small average distance), no dimension characteristic (power-law distribution), large clustering coefficient and biological network heterogametic properties, can well reflect the characteristics of an actual complex system and meets the statistic properties of an actual biological network.

Description

Technical field [0001] The invention belongs to the field of systems biology, and particularly relates to a modeling method of a complex biological network. Background technique [0002] According to Newman, complex networks in the real world mainly include four categories: social networks, information networks, technical networks and biological networks. As a typical complex system, organisms, many of the subsystems can be represented as complex networks. In particular, when the human genome is completed, with the advent of the post-genomics era, the focus of biological research has shifted from the localized study of the functions of individual genes or proteins in cells to all genes, mRNA, proteins, and metabolism in cells. The study of product interactions. The prediction and reconstruction of biological networks (gene regulatory networks, metabolic networks, protein interaction networks, etc.) has become a new and extremely important research field in post-genomics researc...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for constructing a biological network model that simulates the characteristics of biological evolution, which solves the problem that the biological network model in the prior art is difficult to reflect the characteristics of the protein domain recombination network in the biological network, etc.

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