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Date: 05 September 2008
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Biological Significance Of Modular Structures In Protein Networks  

Topic Name: Biological Significance Of Modular Structures In Protein Networks

Category: Genetic Engineering

Research persons: Jianzhi Zhang & Jianzhi Zhang

Location: 2019 Kraus Natural Science Building,830 North University,Ann Arbor, MI 48109-1048,p: 734.615.4917 // f: 734.763.0544, United States

Details

Biological Significance Of Modular Structures In Protein Networks

It is easy to observe that many networks naturally divide into communities or modules, where links within modules are stronger and denser than those across modules - like the way people from the same age group tend to interact more with each other than with people from different age groups. It is widely believed that networks within cells are modular in much the same way. Drs Zhi Wang and Jianzhi Zhang, from the University of Michigan, now investigate these modular properties and conclude that they may be only a random byproduct of evolution, and not functional at all.
The modules of cellular networks were thought to be formed in a way that reflects the relative independence and coherence of the various functional units in a cell - each module serves a function. This investigation, published in the Open Access journal PLoS Computational Biology, now suggests that the structural modules in the yeast protein-protein interaction network may have originated as an evolutionary byproduct without much biological significance.

There is little evidence that the previously observed structural modules correspond in any way to functional units. It seems that previous analyses may have even created some of these modules through the techniques used to investigate protein properties. Refuting previous studies, the authors now show by computer simulation that modular structures can arise during network growth via a simple model of gene duplication, without a natural selection preference for modularity.

Author Summary

Many complex networks are naturally divided into communities or modules, where links within modules are much denser than those across modules. For example, human individuals belonging to the same ethnic groups interact more than those from different ethnic groups. Cellular functions are also organized in a highly modular manner, where each module is a discrete object composed of a group of tightly linked components and performs a relatively independent task. It is interesting to ask whether this modularity in cellular function arises from modularity in molecular interaction networks such as the transcriptional regulatory network and protein–protein interaction (PPI) network. We analyze the yeast PPI network and show that it is indeed significantly more modular than randomly rewired networks. However, we find little evidence that the structural modules correspond to functional units. We also fail to observe any evolutionary conservation among yeast, fly, and nematode PPI modules. We then show by computer simulation that modular structures can arise during network growth via a simple model of gene duplication, without natural selection for modularity. Thus, it appears that the structural modules in the PPI network may have originated as an evolutionary byproduct without much biological significance.

About Researchers:

Jianzhi Zhang &  Jianzhi Zhang
Department of Ecology and Evolutionary Biology,
University of Michigan,
Ann Arbor,
Michigan,
United States of America

Funded-

This work was supported in part by research grants from the US National Institutes of Health and the University of Michigan to JZ.

In The Images-

Figure 1. An Example of a Small Network with a Modular Structure (A) and Its Randomly Rewired Network (B)

Figure 2. The Modularity of Yeast PIC and PEC Networks Compared with That of Their Randomly Rewired Networks, and the Similarity of Module Compositions between PIC and PEC Networks Compared with the Random Expectatio

Figure 3. PPI Network Representations of Protein Complexes

Figure 4. Lack of Obvious Correspondence between Structural Modules and Functional Units


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