On degree and distance-based topological indices of certain interconnection networks

Zhang, Xiujun; Zhang, Zhiqiang; Natarajan, C.; Jaganathan, Subhasri; Narasimhan, D.; Ravi, V.

doi:10.1140/epjp/s13360-022-03010-0

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…Zhang et al [18] carried out the QSPR analysis of anti-malaria drugs using degree-based topological indices in 2022. By considering the applications of topological indices over interconnection networks, Zhang et al [19] studied some interconnection networks using degree and distance-based topological indices in 2022. Zhang et al [20] computed the upper bounds of the first multiplicative Zagreb and second multiplicative Zagreb indices of the generalized F-sum graphs and also obtained the results for applications of alkanes in 2019.…”

Section: Introductionmentioning

confidence: 99%

QSPR analysis of anti‐asthmatic drugs using some new distance‐based topological indices: A comparative study

Balasubramaniyan,

Chidambaram,

Ravi

et al. 2024

Int J of Quantum Chemistry

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Asthma is a widespread disease that has affected more than 300 million people worldwide. There is no efficient or preventive treatment for this disease yet. Drug scientists are striving hard to discover a variety of medicines that can treat asthma effectively. Quantitative structure‐property relationship (QSPR) analysis of drugs used in the treatment of a specific disease through topological descriptors is one of the best techniques adopted by drug scientists to cut down unnecessary laboratory expenses. In this article, we have done a QSPR analysis to identify the best predictor for the six properties namely, boiling point, enthalpy, flash point, log P, molar volume, and molar refractivity of 19 different anti‐asthmatic drugs using a set of 16 distance‐based topological indices. Also, we compare our results with QSPR analysis done by using certain degree‐based indices for the chosen drugs and obtain new directions.

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Section: Introductionmentioning

confidence: 99%

QSPR analysis of anti‐asthmatic drugs using some new distance‐based topological indices: A comparative study

Balasubramaniyan,

Chidambaram,

Ravi

et al. 2024

Int J of Quantum Chemistry

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“…Liu et al 14 , 15 analyses of some structural properties of networks. Higher values of these indices may imply stronger chemical stability or resistance 16 . While topological indices can provide useful information about molecular structure and potential correlations with physicochemical features, they can not capture the full complexity of intermolecular interactions 17 , 18 .…”

Section: Introductionmentioning

confidence: 99%

On topological indices and entropy measures of beryllonitrene network via logarithmic regression model

Yu,

Siddiqui,

Hussain

et al. 2024

Sci Rep

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Chemical graph theory, a subfield of graph theory, is used to investigate chemical substances and their characteristics. Chemical graph analysis sheds light on the connection, symmetry, and reactivity of molecules. It supports chemical property prediction, research of molecular reactions, drug development, and understanding of molecular networks. A crucial part of computational chemistry is chemical graph theory, which helps researchers analyze and manipulate chemical structures using graph algorithms and mathematical models. Beryllonitrene , a compound of interest due to its potential applications in various fields, is examined through the lens of graph theory and mathematical modeling. The study involves the calculation and interpretation of topological indices and graph entropy measures, which provide valuable insights into the structural and energetic properties of Beryllonitrene’s molecular graph. Logarithmic regression models are employed to establish correlations between these indices, entropy, and other relevant molecular attributes. The results contribute to a deeper understanding of Beryllonitrene’s complex characteristics, facilitating its potential applications in diverse scientific and technological domains. In this study, degree-based topological indices $$\text{TI}$$ TI are determined, as well as the entropy of graphs based on these $$\text{TI}$$ TI .

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“…Every new concept in graph theory typically arises from theoretical or practical foundations. For example, Zhang et al ( [4] , [7] , [6] , [5] , [8] , [9] ) have analyzed various structures by utilizing graph invariants to compute topological indices for different molecular structures. Rainbow connectivity finds significant applications in network security, attracting the attention of numerous scholars and yielding substantial results for both general graphs and digraphs.…”

Section: Introductionmentioning

confidence: 99%

Rainbow connections of bioriented graphs

Wang,

Liu,

Jiang

2024

Heliyon

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On degree and distance-based topological indices of certain interconnection networks

Cited by 7 publications

References 18 publications

QSPR analysis of anti‐asthmatic drugs using some new distance‐based topological indices: A comparative study

QSPR analysis of anti‐asthmatic drugs using some new distance‐based topological indices: A comparative study

On topological indices and entropy measures of beryllonitrene network via logarithmic regression model

Rainbow connections of bioriented graphs

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