Graph-theoretic and computational analysis of QSAR molecular descriptors for single chain diamond silicates

This study presents a comprehensive graph-theoretic and computational analysis of Quantitative Structure–Activity Relationship (QSAR) molecular descriptors for Single Chain Diamond Silicates (CSn), a crucial class of silicate structures defined by their unique connectivity of SiO₄ tetrahedra. Various molecular descriptors, including the Atom Bond Connectivity (ABC) Index, Atom Bond Sum Connectivity (ABS) Index, Augmented Zagreb Index (AZI), Sum Augmented Zagreb Index (SZI), Geometric Arithmetic Index (GAI), and Arithmetic Geometric Index (AGI), are examined to assess their structural, electronic, and thermodynamic properties. Through mathematical formulations and computational modelling, this study quantifies the complexity, stability, and connectivity patterns of CSn, enhancing the predictive capabilities of QSAR models. The findings underscore the significance of molecular descriptors in characterising silicate networks, with applications spanning materials science, catalysis, and geochemistry.

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Journal
Discover Chemistry.
Published
2025-05-08
DOI
https://doi.org/10.1007/s44371-025-00186-z
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Graph-theoretic and computational analysis of QSAR molecular descriptors for single chain diamond silicates

S. Priyatharshni, Ponnurengam Malliappan Sivakumar, Sajeev Erangu Purath Mohankumar
Discover Chemistry.
Computational Drug Discovery Methods
article

Graph-theoretic and computational analysis of QSAR molecular descriptors for single chain diamond silicates

S. Priyatharshni, Ponnurengam Malliappan Sivakumar, Sajeev Erangu Purath Mohankumar
article en

Abstract

This study presents a comprehensive graph-theoretic and computational analysis of Quantitative Structure–Activity Relationship (QSAR) molecular descriptors for Single Chain Diamond Silicates (CSn), a crucial class of silicate structures defined by their unique connectivity of SiO₄ tetrahedra. Various molecular descriptors, including the Atom Bond Connectivity (ABC) Index, Atom Bond Sum Connectivity (ABS) Index, Augmented Zagreb Index (AZI), Sum Augmented Zagreb Index (SZI), Geometric Arithmetic Index (GAI), and Arithmetic Geometric Index (AGI), are examined to assess their structural, electronic, and thermodynamic properties. Through mathematical formulations and computational modelling, this study quantifies the complexity, stability, and connectivity patterns of CSn, enhancing the predictive capabilities of QSAR models. The findings underscore the significance of molecular descriptors in characterising silicate networks, with applications spanning materials science, catalysis, and geochemistry.

Discover Chemistry.Vol. 2(1)
Swami Vivekanand College of Pharmacy (IN), Trichy SRM Medical College Hospital and Research Centre (IN), Translational Research Platform for Veterinary Biologicals (India) (IN)
Openalex Percentile: Top 89%
Computational Drug Discovery Methods
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Graph-theoretic and computational analysis of QSAR molecular descriptors for single chain diamond silicates — S. Priyatharshni, Ponnurengam Malliappan Sivakumar, et al. · Discover Chemistry. (2025) | TGRS Research Map | TGRS