Spectrum‐Based Topological Indices and Their QSPR Studies of Nonsteroidal Anti‐Inflammatory Drugs

ABSTRACT Spectrum‐based topological indices (eigenvalue‐based topological indices), a valuable tool for analyzing molecular structure. These topological indices are metrics that reflect the inherent characteristics of chemical substances, were employed in conjunction with quantitative structure‐property relationship (QSPR) to investigate nonsteroidal anti‐inflammatory drugs (NSAIDs) which are used toalleviate or eliminate pain sensations in affected areas. We have to use mathematica to compute various eigenvalue‐based indices and utilized statistical software to identify correlations between these indices and key physical properties of NSAIDs. The analysis revealed that specific indices, including index, index, index, and index exhibited strong associations with properties like complexity and refractivity, boiling point, polarity, and molar weight, respectively.

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Publication Details

Journal
International Journal of Quantum Chemistry
Published
2024-09-14
DOI
https://doi.org/10.1002/qua.27472
Citations
5
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.81
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article

Spectrum‐Based Topological Indices and Their QSPR Studies of Nonsteroidal Anti‐Inflammatory Drugs

K. Pattabiraman, P. Danesh
5 citations
International Journal of Quantum Chemistry
Computational Drug Discovery Methods
1.81
article

Spectrum‐Based Topological Indices and Their QSPR Studies of Nonsteroidal Anti‐Inflammatory Drugs

K. Pattabiraman, P. Danesh
article en
5 citations

Abstract

ABSTRACT Spectrum‐based topological indices (eigenvalue‐based topological indices), a valuable tool for analyzing molecular structure. These topological indices are metrics that reflect the inherent characteristics of chemical substances, were employed in conjunction with quantitative structure‐property relationship (QSPR) to investigate nonsteroidal anti‐inflammatory drugs (NSAIDs) which are used toalleviate or eliminate pain sensations in affected areas. We have to use mathematica to compute various eigenvalue‐based indices and utilized statistical software to identify correlations between these indices and key physical properties of NSAIDs. The analysis revealed that specific indices, including index, index, index, and index exhibited strong associations with properties like complexity and refractivity, boiling point, polarity, and molar weight, respectively.

International Journal of Quantum ChemistryVol. 124(18)
Annamalai University (IN)
Good health and well-being
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
1.81
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