Master Connectivity Index and Master Connectivity Polynomial

2010 ◽  
Vol 6 (4) ◽  
pp. 235-239
Author(s):  
Damir Vukicevic ◽  
Nenad Trinajstic ◽  
Sonja Nikolic ◽  
Bono Lucic ◽  
Bo Zhou
Keyword(s):  
2013 ◽  
Vol 9 (2) ◽  
pp. 184-194 ◽  
Author(s):  
Bono Lucic ◽  
Ivan Sovic ◽  
Jadranko Batista ◽  
Karolj Skala ◽  
Dejan Plavsic ◽  
...  

2021 ◽  
Vol 80 (8) ◽  
Author(s):  
María Jimena Andreazzini ◽  
Susana Beatriz Degiovanni ◽  
María Eugenia Benito ◽  
Karina Vanesa Echevarria

2018 ◽  
Vol 74 (1-2) ◽  
pp. 25-33 ◽  
Author(s):  
Zahid Iqbal ◽  
Muhammad Ishaq ◽  
Adnan Aslam ◽  
Wei Gao

AbstractPrevious studies show that certain physical and chemical properties of chemical compounds are closely related with their molecular structure. As a theoretical basis, it provides a new way of thinking by analyzing the molecular structure of the compounds to understand their physical and chemical properties. The molecular topological indices are numerical invariants of a molecular graph and are useful to predict their bioactivity. Among these topological indices, the eccentric-connectivity index has a prominent place, because of its high degree of predictability of pharmaceutical properties. In this article, we compute the closed formulae of eccentric-connectivity–based indices and its corresponding polynomial for water-soluble perylenediimides-cored polyglycerol dendrimers. Furthermore, the edge version of eccentric-connectivity index for a new class of dendrimers is determined. The conclusions we obtained in this article illustrate the promising application prospects in the field of bioinformatics and nanomaterial engineering.


2011 ◽  
Vol 159 (13) ◽  
pp. 1323-1330 ◽  
Author(s):  
G.H. Fath-Tabar ◽  
B. Vaez-Zadeh ◽  
A.R. Ashrafi ◽  
A. Graovac

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