@article{Article_42,

title = {Investigating neighborhood Gourava indices using Neighborhood M-Polynomial in some drug structures},

journal = {Communications in Combinatorics, Cryptography & Computer Science},

volume = {2022},

issue = {2},

issn = { 2783-5456 },

year = {2022},

url = {http://cccs.sgh.ac.ir/Articles/2022/issue 2/2-6-InvestigatingneighborhoodGouravaindicesusingNeighborhoodMPolynomialinsomedrugstructures.pdf},

author = {Jaber Ramezani Tousi and Masoud Ghods and Fateme Movahedi},

keywords = {Neighborhood Gourava indices, Neighborhood Hyper Gourava indices, Molecular graph, NM-Polynomials, Antiviral drugs.},

abstract = {Studying the structure of molecular graphs of drugs, especially drugs effective in treating Covid-19, is practical and essential. Gourava indices have critical applications in chemistry; they have a high correlation with entropy and acentric factor. In this article, first, neighborhood Gourava indices are introduced. Then the mathematical relationship between NM-polynomial and neighborhood Gourava indices are obtained. Using NM-polynomial, neighborhood Gourava indices are computed for the molecular graphs of Dexamethasone, Chloroquine, Hydroxychloroquine, and Remedsivir.}

};