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Study of biological networks using graph theory
Joint Authors
Baig, Abd al-Qadir
Wu, Hualong
Siddiqui, Muhammad Kamran
Gao, Wei
Source
Saudi Journal of Biological Sciences
Issue
Vol. 25, Issue 6 (30 Sep. 2018), pp.1212-1219, 8 p.
Publisher
Publication Date
2018-09-30
Country of Publication
Saudi Arabia
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
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
American Psychological Association (APA)
Gao, Wei& Wu, Hualong& Siddiqui, Muhammad Kamran& Baig, Abd al-Qadir. 2018. Study of biological networks using graph theory. Saudi Journal of Biological Sciences،Vol. 25, no. 6, pp.1212-1219.
https://search.emarefa.net/detail/BIM-852209
Modern Language Association (MLA)
Gao, Wei…[et al.]. Study of biological networks using graph theory. Saudi Journal of Biological Sciences Vol. 25, no. 6 (Sep. 2018), pp.1212-1219.
https://search.emarefa.net/detail/BIM-852209
American Medical Association (AMA)
Gao, Wei& Wu, Hualong& Siddiqui, Muhammad Kamran& Baig, Abd al-Qadir. Study of biological networks using graph theory. Saudi Journal of Biological Sciences. 2018. Vol. 25, no. 6, pp.1212-1219.
https://search.emarefa.net/detail/BIM-852209
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1219
Record ID
BIM-852209