QSPR Analysis of Novel Topological Index Based on Proximity Degree

Deepasree S. Kumar; P. S. Ranjini; Md. Samiul Haque; V. Lokesha

doi:10.26713/cma.v15i4.3282

Authors

Deepasree S. Kumar Department of Mathematics, Acharya Institute of Technology (affiliated to Visvesvaraya Technological University), Bangalore 560107, Karnataka, India https://orcid.org/0000-0002-3313-676X (unauthenticated)
P. S. Ranjini Department of Mathematics, Don Bosco Institute of Technology (affiliated to Visvesvaraya Technological University), Kumbalagudu, Bangaluru 560074, Karnataka, India https://orcid.org/0000-0002-6657-4598 (unauthenticated)
Md. Samiul Haque Department of Mathematics, Acharya Institute of Technology, Bangalore 560107, Karnataka, India https://orcid.org/0000-0002-6723-6427 (unauthenticated)
V. Lokesha Department of Studies in Mathematics, Vijyanagara Sri Krishnadevaraya University, Ballari 583105, Karnataka, India https://orcid.org/0000-0003-2468-9511 (unauthenticated)

DOI:

https://doi.org/10.26713/cma.v15i4.3282

Keywords:

Proximity degree, QSPR analysis, Octane isomers, Heptane isomers

Abstract

In this article, we define a \(k\)-proximity degree and based on this distance degree, we introduce a novel topological index named Proximity Index \((\PI_k)\). By considering octane and heptane isomers, we have studied QSPR regression analysis to predict the physio-chemical properties and chemical applicability of the index.

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