ArticleScientific reports2025
Ranking polycystic ovarian syndrome (PCOS) drugs using degree-based indices in QSPR models and CRITIC-driven MCDM methods.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- QSPR analysis of the drugs used to treat renal failure and its complications using degree and modified reverse degree indices.Scientific reports · 2026Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Globally, 8-13% of reproductive-age women experience PCOS, a complicated endocrine condition. This study investigates several methods for treating polycystic ovary syndrome (PCOS) as well as its causes, which include a complicated interplay between hereditary susceptibility, hormonal imbalances, insulin resistance, and lifestyle variables. An advanced graph-theory technique is used in the investigation of PCOS medication chemical structure prediction, with special focus on unique degree-based topological indices like the Banhatti and Zagreb indices. The efficacy of fifteen drugs, such as metformin, letrozole, spirolactone, etc., is evaluated in this study using QSPR analysis. We rate these medications using three different multi-criteria decision-making (MCDM) algorithms: CRITIC, CoCoSo, and MABAC. According to the results of the CoCoSo and MABAC analyses, the medicine orlistat has the best chance of success, and the MCDM methods have improved the process of evaluating and ranking treatment choices. The correlation between indices and properties falls within the range of 0.8-0.9, which shows a strong positive correlation with the physicochemical characteristics of compounds. The study demonstrates how topological indexes might improve the process of finding novel drugs and creating individualised treatment regimens for PCOS patients.
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