Quantitative structure property relationship and multiattribute decision analysis of antianginal drugs using topological indices

Abstract Angina is a condition characterized by chest pain or discomfort due to insufficient blood flow to the heart muscle. Effective management focuses on reducing symptoms and preventing disease progression through lifestyle modifications, medications, and interventional procedures. Timely diagno...

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Bibliographic Details
Main Authors: Muhammad Waheed Rasheed, Abid Mahboob, Ali Ovais, Nimra Shabbir, Abdu Alameri
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-02473-2
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Summary:Abstract Angina is a condition characterized by chest pain or discomfort due to insufficient blood flow to the heart muscle. Effective management focuses on reducing symptoms and preventing disease progression through lifestyle modifications, medications, and interventional procedures. Timely diagnosis and treatment are crucial for enhancing patient quality of life. Designing and developing experimental drugs is challenging and costly, which makes mathematical and computational methods essential for efficient drug discovery. In this article, we introduce a novel molecular descriptor based on a graph theory-driven degree partitioning technique, integrated into a quantitative structure-property relationships (QSPR) framework. Using quadratic regression, we determine the optimal predictors for four key properties boiling point, enthalpy of vaporization, flash point, and index of refraction for sixteen anti-angina drugs based on nine degree-based topological indices. Furthermore, by combining these descriptors with the multi-attribute decision-making additive ratio assessment technique, we achieve robust and reliable drug rankings. Our innovative integration of a new molecular descriptor with advanced statistical and decision-making methods not only improves predictive accuracy but also provides a novel and efficient approach for the development and optimization of angina drug therapies.
ISSN:2045-2322