https://doi.org/10.1140/epjp/s13360-023-04439-7
Regular Article
On some neighbourhood degree-based topological indices with QSPR analysis of asthma drugs
Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, 612001, Kumbakonam, Tamil Nadu, India
b
natarajan_c@maths.sastra.edu
Received:
4
August
2023
Accepted:
1
September
2023
Published online:
20
September
2023
One of the effective mathematical chemistry techniques that helps chemists and drug scientists look over the chemical and biological activities of chemical compounds or medications is the topological indices. The topological indices are frequently employed in Quantitative Structural Property Relationship (QSPR) modeling to study the physicochemical characteristics of chemical compounds without actually performing tests in a Wet lab, saving cost and time involved in the laboratory experiments. In this article, we compute eleven recently introduced neighbourhood degree-based indices for nineteen Asthma drugs and apply curvilinear regression models to perform QSPR analysis on the pharmaceuticals we selected for discussion.
Deepa Balasubramaniyan and Natarajan Chidambaram have contributed equally to this work.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
