2022
DOI: 10.3934/math.2022660
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Topological indices of novel drugs used in blood cancer treatment and its QSPR modeling

Abstract: <abstract> <p>A topological index is a real number obtained from the chemical graph structure. It can predict the physicochemical and biological properties of many anticancer medicines like blood, breast and skin cancer. This can be done through degree-based topological indices.. In this article, the drugs, azacitidine, buslfan, mercaptopurine, tioguanine, nelarabine, etc. which are used in order to cure blood cancer are discussed and the purpose of the QSPR study is to determine the mathematical … Show more

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Cited by 25 publications
(13 citation statements)
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“…The heat of the formation of an alkane is best predicted using the augmented Zagreb index in [6]. For more understanding visit the subsequent articles [4,9,19,[26][27][28][29][30][31]. Various regression methods using TIs were implemented for the QSPR and QSAR [5].…”
Section: Methodsmentioning
confidence: 99%
“…The heat of the formation of an alkane is best predicted using the augmented Zagreb index in [6]. For more understanding visit the subsequent articles [4,9,19,[26][27][28][29][30][31]. Various regression methods using TIs were implemented for the QSPR and QSAR [5].…”
Section: Methodsmentioning
confidence: 99%
“…As a result, the linear regression model is best to examine and use in this analysis. We recommend that the reader read the following research articles [1,[14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]…”
Section: Ga(g)mentioning
confidence: 99%
“…Novel drugs used in cancer treatment were discussed by Havare [ 6 ] and discussed that drug discovery is a costly and complex phenomenon, so these are best predicted with this method. Blood cancer drug QSPR modeling was done by Nasir et al [ 8 ] which shows a strong correlation between TIs and drug properties. Advances in QSPR studies for various topological indices for various chemical structures motivated us to work on the current research problem.…”
Section: Introductionmentioning
confidence: 99%