Molecular topological description of bacterial hypertrees

Muhammad Imran, Muhammad Kamran Siddiqui, Abdul Qudair Baig, Hani Shaker

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The topological descriptor are numerical parameters of a graph which characterize its topology and are usually graph invariants. Nowadays, Biological science is an energizing and quickly creating branch of knowledge together with the topological descriptor. In recent years, the investigation of living things has experienced huge extension. All the living things are composed of a fundamental unit of life called cells. The microbiology is a science that deals with the living creatures that can not be seen by naked eyes like bacteria, viruses. In recent years, eccentricity based topological indices gain a lot of importance in many disciplines like chemistry, computer science, integrated circuits, electric circuits, communication networks, biological networks. In a connected graph G, the vertex set V (G) shows the bacteria and the edge set E (G) shows the relationship between two bacterium. Mostly, the reproduction of bacteria and other microorganisms occur by binary fission process. The topological indices play a vital and useful role in indicating and analyzing physical, chemical and biological properties of any molecular graph. In this paper, we have computed eccentric polynomial and eccentric atom bond connectivity index of hyper binary trees networks (k-level) and relate these networks to biological networks. Also discuss how biological activities of these networks work in daily life.

Original languageEnglish
Pages (from-to)5095-5105
Number of pages11
JournalJournal of Intelligent and Fuzzy Systems
Volume38
Issue number4
DOIs
Publication statusPublished - Apr 30 2020

Keywords

  • Biological networks
  • binary tree
  • eccentric atom bond connectivity
  • eccentric connectivity polynomial
  • hyper binary trees networks
  • molecular structure descriptor

ASJC Scopus subject areas

  • Statistics and Probability
  • General Engineering
  • Artificial Intelligence

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