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Author

M. Arockiaraj

3 papers indexed here

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Open access Sep 2026

A comparative study of machine learning models in QSPR analysis of antihypertensive drug compounds

Hypertension is one of the most prevalent ailments globally, and it predisposes individuals to heart conditions. To develop improved drugs that reduce hypertension, one should understand the molecular properties that influence the effect of a drug. In this study, we explore the quantitative structure–property relations...

M. Arockiaraj, Vinibala Shanmugham, H. M. Alshanbari et al. · 0 citations
Aug 2026

Topological descriptors, entropy measures, and graph energy modeling in U-carbon allotropes.

The ability of carbon to adopt multiple hybridization states gives rise to a variety of allotropes with diverse electronic behaviors, including insulating, metallic, and potentially magnetic phases. Although metallic and magnetic structures have been explored, intrinsically ferromagnetic crystalline carbon allotropes r...

M. Arockiaraj, C. I. Arokiya Doss, Jessie Abraham et al. · 0 citations
Open access Aug 2026

Topological indices and machine learning techniques for quantitative structure property relationship analysis of antidiabetic drugs

In the present work, degree-based, degree-sum-based, and reverse-degree-based topological indices are examined under a bond partitioning framework for a series of antidiabetic drug molecules and reveal strong correlations between these indices and key physicochemical attributes, confirming their predictive relevance.

S. Pandian, M. Arockiaraj, P. Ali et al. · 0 citations

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