Study of biological networks using graph theory

Saudi Journal of Biological Sciences
Wei GaoAbdul Qudair Baig

Abstract

As an effective modeling, analysis and computational tool, graph theory is widely used in biological mathematics to deal with various biology problems. In the field of microbiology, graph can express the molecular structure, where cell, gene or protein can be denoted as a vertex, and the connect element can be regarded as an edge. In this way, the biological activity characteristic can be measured via topological index computing in the corresponding graphs. In our article, we mainly study the biology features of biological networks in terms of eccentric topological indices computation. By means of graph structure analysis and distance calculating, the exact expression of several important eccentric related indices of hypertree network and X-tree are determined. The conclusions we get in this paper illustrate that the bioengineering has the promising application prospects.

Citations

Apr 28, 2020·Journal of Biomolecular Structure & Dynamics·Xianwen ZhangM S H Al-Furjan
Oct 28, 2019·Sensors·Hossein MoayediLoke Kok Foong
Mar 30, 2020·Scientific Reports·Mohammad Amin OyarhosseinDong Won Jung
Apr 22, 2020·Journal of Biomolecular Structure & Dynamics·Pei ZhangMehran Safarpour
Feb 16, 2021·Journal of Mathematical Chemistry·R Sundara RajanKrishnan Balasubramanian
Mar 9, 2021·Journal of Mathematical Chemistry·R Sundara RajanKrishnan Balasubramanian
Apr 4, 2020·Journal of Biomolecular Structure & Dynamics·Zahra AbdelmalekIskander Tlili

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