Evidence map›Paper›PMID 42292661›Full record

ArticleFrontiers in chemistry2026

Chromatic hyper Zagreb topological descriptors and QSPR analysis of certain skin cancer drugs.

R Pavithra, J Ravi Sankar

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

R PavithraDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
J Ravi SankarDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin cancer is one of the most common diseases, and studying its drugs is important for effective treatment and drug design. Drugs for melanoma, immunosuppressants, and topical drug administration have a bright future in the investigation of skin cancer drugs with possible anticancer properties. The use of chromatic topological descriptors is still the predominant strategy due to the notable progress being made in the field of drug creation. In this work, the investigation of regression models and chromatic hyper Zagreb topological descriptors for some skin cancer drugs is the main focus of this study. Together with the QSPR models, descriptors provide a numerical representation of a molecule's chemical characteristics. Proper coloring is applied to the molecular graphs such that no two adjacent vertices share the same color. Regression models are constructed for the calculated index values while the physicochemical properties of skin cancer drugs are investigated. The framework that connects chemical composition to physical attributes is represented by numbers associated with chromatic topological indices. Based on the data collected, an analysis is conducted for a number of noteworthy findings.

Indexed as

chromatic topological indicesphysicochemical propertiesQSPR modelregression modelskin cancer drugs

Identifiers

PMID42292661
PMCPMC13260617

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.