ArticleInternational journal of analytical chemistry2023
Chemical Application of Topological Indices in Infertility Treatment Drugs and QSPR Analysis.
Article in International journal of analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- A QSPR study of coronary artery disease drugs using eccentricity-based indices.Scientific reports · 2025Article
- Exploring QSPR in breast cancer drugs via entire neighborhood indices and regression models.Scientific reports · 2025Article
- QSPR analysis of physico-chemical and pharmacological properties of medications for Parkinson's treatment utilizing neighborhood degree-based topological descriptors.Scientific reports · 2025Article
- Comparative study of degree, neighborhood and reverse degree based indices for drugs used in lung cancer treatment through QSPR analysis.Scientific reports · 2025Article
- Article
- Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approachFrontiers in chemistry · 2025Article
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Authors and funding
1 author.
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Abstract
The main challenges faced by medical researchers while producing novel drugs are time commitment, amplified costs, creating a safety profile for the medications, reduced solubility, and a lack of experimental data. Chemical graph theory makes an important theoretical contribution to drug development and design by investigating the structural properties of molecules. To improve drug research and assess the effectiveness of treatments, topological indices aim to provide a mathematical representation of molecular structures. In this study, the author examined a number of recently used drugs, including tamoxifen, mesterolone, anastrozole, and letrozole which are used to treat infertility. We compute the topological descriptors with the limiting behaviors associated with these pharmaceutical drugs and offer degree-based topological parameters for them. We conducted a QSPR investigation on the prospective degree-based topological descriptors using quadratic, cubic, exponential, and logarithmic regression models.
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Registered trials
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