Scholarlink

<p>This study presents a computational framework based on graph-theoretical descriptors and Multi-Criteria Decision-Making (MCDM) models to evaluate potential drug candidates for the treatment of ear disease. Molecular descriptors, particularly Banhatti indices, were computed to capture essential structural features of drug molecules. Statistical analysis using correlation and <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(R^{2}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>R</mi> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation> values established strong links between these descriptors and physicochemical properties. To prioritize drugs, three MCDM methods, namely Entropy, Simple Additive Weighting (SAW), and Weighted Aggregated Sum Product Assessment (WASPAS), were applied. The integrated approach provides a reliable and comprehensive assessment, enabling more informed selection of effective treatments for ear disease.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Comprehensive computational framework for drug assessment in ear disease using graph-theoretical descriptors and decision-making models

  • 期刊论文

  • 发表日期：

    2025年10月2日

查看全文
  • Muhammad Waheed Rasheed,
  • Rashad Ismail,
  • Jahangeer Karamat,
  • Saddam Hussain

摘要

This study presents a computational framework based on graph-theoretical descriptors and Multi-Criteria Decision-Making (MCDM) models to evaluate potential drug candidates for the treatment of ear disease. Molecular descriptors, particularly Banhatti indices, were computed to capture essential structural features of drug molecules. Statistical analysis using correlation and \(R^{2}\) R 2 values established strong links between these descriptors and physicochemical properties. To prioritize drugs, three MCDM methods, namely Entropy, Simple Additive Weighting (SAW), and Weighted Aggregated Sum Product Assessment (WASPAS), were applied. The integrated approach provides a reliable and comprehensive assessment, enabling more informed selection of effective treatments for ear disease.