Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks
Previous research has shown a substantial correlation between a chemical compound’s molecular structure and its chemical characteristics. Understanding the physical characteristics and biological functions of biomolecules can be improved with the aid of topological indices based on their molecular s...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Hindawi Limited
2023-01-01
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Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2023/7562648 |
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author | Haidar Ali Ayesha Umer Parvez Ali Mohamed Sesay |
author_facet | Haidar Ali Ayesha Umer Parvez Ali Mohamed Sesay |
author_sort | Haidar Ali |
collection | DOAJ |
description | Previous research has shown a substantial correlation between a chemical compound’s molecular structure and its chemical characteristics. Understanding the physical characteristics and biological functions of biomolecules can be improved with the aid of topological indices based on their molecular structure. Eccentricity-connectivity indices, which describe molecular structures based on distance, have been applied to the mathematical modelling of a wide range of biological activities. In this article, we compute the exact formulae of various versions of the eccentricity-connectivity index for first type of Dominating David-derived network. The findings can be applied to computer-aided molecular design methods in pharmaceutical engineering. |
first_indexed | 2024-04-10T00:21:20Z |
format | Article |
id | doaj.art-b89d73871fbe4f29a70d567622d39a40 |
institution | Directory Open Access Journal |
issn | 2314-4785 |
language | English |
last_indexed | 2025-02-18T09:00:01Z |
publishDate | 2023-01-01 |
publisher | Hindawi Limited |
record_format | Article |
series | Journal of Mathematics |
spelling | doaj.art-b89d73871fbe4f29a70d567622d39a402024-11-02T23:53:16ZengHindawi LimitedJournal of Mathematics2314-47852023-01-01202310.1155/2023/7562648Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived NetworksHaidar Ali0Ayesha Umer1Parvez Ali2Mohamed Sesay3Department of MathematicsDepartment of MathematicsDepartment of Mechanical EngineeringDepartment of Mechanical and Production EngineeringPrevious research has shown a substantial correlation between a chemical compound’s molecular structure and its chemical characteristics. Understanding the physical characteristics and biological functions of biomolecules can be improved with the aid of topological indices based on their molecular structure. Eccentricity-connectivity indices, which describe molecular structures based on distance, have been applied to the mathematical modelling of a wide range of biological activities. In this article, we compute the exact formulae of various versions of the eccentricity-connectivity index for first type of Dominating David-derived network. The findings can be applied to computer-aided molecular design methods in pharmaceutical engineering.http://dx.doi.org/10.1155/2023/7562648 |
spellingShingle | Haidar Ali Ayesha Umer Parvez Ali Mohamed Sesay Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks Journal of Mathematics |
title | Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks |
title_full | Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks |
title_fullStr | Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks |
title_full_unstemmed | Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks |
title_short | Eccentricity-Based Topological Invariants of First Type of Dominating David-Derived Networks |
title_sort | eccentricity based topological invariants of first type of dominating david derived networks |
url | http://dx.doi.org/10.1155/2023/7562648 |
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