Work

Predicting Physico-Chemical Properties of Anti-Cancer Drugs Using Distance-Based Topological Indices

Year: 2025

Type: article

Abstract: Topological Indices are one of the best molecular descriptors which are widely used in the study of structural properties of various chemicals. Also, they are very much useful in QSPR/QSAR studies. Among several topological indices, distance-based indices are emerging and attracted researchers across the world. In this article, we study the recently introduced sixteen different distance-based topological indices for eleven anti-cancer drugs and also performed QSPR analysis to identify the best predictors for the physico-chemical properties namely, Molar Refractivity, Complexity, Molar Volume, Heavy Atom Count, Monoisotopic Mass and Topological Polar Surface Area with the help of those computed values of the indices.

Source: Archive des Sciences

DOI: 10.62227/as/75103

Authors: Deepa Balasubramaniyan, Natarajan Chidambaram, Mohammad Reza Farahani

Institutions: SASTRA University, Iran University of Science and Technology

Language: English

Topic: Graph theory and applications

Subfield: Geometry and Topology

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4408265404