Evidence map›Paper›PMID 42812563›Full record

ArticleFrontiers in chemistry2026

QSPR analysis using stress sum based topological indices for predicting physicochemical properties of Hodgkin lymphoma drugs.

A Sivaranjani, K Bharani Dharan, S Radha

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Article in Frontiers in chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

A SivaranjaniSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
K Bharani DharanSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
S RadhaSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular graph theory has been widely used to represent the structure of chemical compounds and to study their physicochemical properties. In this work, we introduce a set of stress sum-based indices and examine their usefulness in describing the structural characteristics of drugs used in Hodgkin lymphoma treatment. Eight stress sum-based indices were calculated for thirteen selected drug molecules. Their relationships with seven physicochemical properties, namely boiling point, complexity, molecular weight, molar refraction, polar surface area, polarizability, and heavy atom count, were examined using Quantitative Structure-Property Relationship (QSPR) analysis. The correlation analysis of various indices supports the fact that the stress sum-based indices are efficient to capture the pertinent structural features of drug molecules and their application as molecular descriptors in QSPR studies. Additionally, these indices provide meaningful insights into the structural and physicochemical properties of drugs associated with Hodgkin lymphoma treatment. The findings of this study show promise for practical applications for drug design, structural optimization, and the repurposing of existing therapeutic compounds in the broader efforts of cancer pharmacology research.

Indexed as

leave one out cross validationlinear regressionmolecular graphQSPR analysisstress sum based topological indices

Identifiers

PMID42812563
PMCPMC13619894

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