Exploring Neighborhood Topological Descriptors for Quantitative Structure-property Relationship (QSPR) Analysis and Entropy Measures of Some Anti-cancer Drugs

As a result, both neighborhood topological indices and entropy demonstrate potential as valuable tools for future QSPR investigations when evaluating anticancer medications.

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Publication Details

Journal
Current Organic Synthesis
Published
2025-02-12
DOI
https://doi.org/10.2174/0115701794349166241217085334
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Exploring Neighborhood Topological Descriptors for Quantitative Structure-property Relationship (QSPR) Analysis and Entropy Measures of Some Anti-cancer Drugs

M.A. Azeem, Tony Augustine, J. Sahaya Vijay, S. Roy
1 citations
Current Organic Synthesis
Computational Drug Discovery Methods
1.50
article

Exploring Neighborhood Topological Descriptors for Quantitative Structure-property Relationship (QSPR) Analysis and Entropy Measures of Some Anti-cancer Drugs

M.A. Azeem, Tony Augustine, J. Sahaya Vijay, S. Roy
article en
1 citations

Abstract

As a result, both neighborhood topological indices and entropy demonstrate potential as valuable tools for future QSPR investigations when evaluating anticancer medications.

Current Organic SynthesisVol. 22(8)
Riphah International University (PK), University of Manchester (GB), Sacred Heart College (IN), Vellore Institute of Technology University (IN)
Good health and well-being
Openalex Percentile: Top 20%
Computational Drug Discovery Methods
1.50
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