A highly correlated topological index for polyacenes

Authors

  • K Lavanya Lakshmi Department of mathematics, Bapatla Engineering College, Bapatla, Guntur (D.t), Andhra Pradesh, 522101, India

Keywords:

Kekule index, Polyacenes.

Abstract

The most used molecular graph descriptors in establishing Quantitative structure-property relationships (QSPRS) and Quantitative structure-activity relationships (QSARS) are topological indices. Molecular descriptors are normally chosen based on their ability to give good results in statistical models. In this paper we introduce a set of five new indices (Kekule indices) K, K1, K2, K3, K4 and we establish that the Kekule index (K) has excellent correlation (r = 0.99999997250969) with log p values in case of polyacenes.

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Author Biography

K Lavanya Lakshmi, Department of mathematics, Bapatla Engineering College, Bapatla, Guntur (D.t), Andhra Pradesh, 522101, India

Department of mathematics, Bapatla Engineering College, Bapatla, Guntur (D.t), Andhra Pradesh, 522101, India

Published

10-08-2012

How to Cite

Lakshmi, K. L. “A Highly Correlated Topological Index for Polyacenes”. Journal of Experimental Sciences, vol. 3, no. 4, Aug. 2012, https://updatepublishing.com/journal/index.php/jes/article/view/1936.

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