Reduced neighborhood degree-based topological indices on anti-cancer drugs with QSPR analysis

被引:12
作者
Dhanajayamurthy, B., V [1 ]
Shalini, G. B. Sophia [2 ]
机构
[1] Nitte Meenakshi Inst Technol, Dept Math, Bengaluru 64, Yelahanka, India
[2] Mt Carmel Coll, Dept Math, Bengaluru 58, India
关键词
QSPR analysis; Anti-cancer drugs; Reduced neighborhood topological indices;
D O I
10.1016/j.matpr.2021.10.198
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Human body is concocted with trillions of cells which normally grows over the life time and gets divided as needed and they die when the cells got old or become abnormal. But as the cells keep producing the new cells, if the old or abnormal cells don't die, the cancer starts. These cancer cells grow uncontrollably and they crowd the normal cells and hence the body does not function the way it is supposed to. Several types of anti-cancer drugs have been developed which attack the cancer cells and causing less damage to the normal cells. The chemical based studies show the connection between characteristics of alkanes and anti-cancer drugs namely, enthalpy, molar volume, boiling point and so on with their molecular structures. In this paper, we have defined various reduced neighborhood topological indices and calculated the physio-chemical properties of some anti-cancer drugs. Also, the QSPR analysis for these newly introduced indices are studied and we exhibit the good correlation with characteristics on these drugs. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on "Materials Science and Mathematics for Advanced Technology".
引用
收藏
页码:608 / 614
页数:7
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