ArticleACS omega2025
Quantitative Structure-Property Relationship Modeling with the Prediction of Physicochemical Properties of Some Novel Duchenne Muscular Dystrophy Drugs.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Comparative structural analysis of certain covalent organic frameworks through entropy and degree-based topological indices.Scientific reports · 2026Article
- Comparative QSPR study of food preservatives using topological indices and regression models.Scientific reports · 2025Article
- Entropy comparison of benzothiadiazole-based covalent-organic frameworks.Frontiers in chemistry · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Duchenne muscular dystrophy is a critical, progressively worsening, and ultimately deadly illness characterized by the deterioration of skeletal muscles, respiratory failure, and heart disease. The pharmaceutical industries are persistently innovating drug design processes to address the rise of infections and effectively treat emerging syndromes or genetically based disorders with the help of quantitative structure-property relationship models. These models are mathematical tools that correlate molecular structures with their physicochemical properties through structural characteristics. Different models can be generated based on the various structural features of the compounds, and topological indices are one such significant structural feature generated from the molecular graph and are key tools used in these models. This study focuses on creating quantitative structure-property relationship models using degree-based topological indices, which are highly effective in quantitative structure-property relationship analysis to explore the diverse physicochemical properties of Duchenne muscular dystrophy drugs with the prediction of properties of a recently approved drug givinostat. Furthermore, the drug discovery and development activities can be accelerated using the developed models to forecast the possible productiveness of novel Duchenne muscular dystrophy treatment drugs.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.