{"title":"Modeling the Physico-Chemical Characteristics of Benzenes through the Application of Zagreb Rho Indices.","authors":"İdris Çiftçi","doi":"10.2174/0113862073367066250218103438","DOIUrl":null,"url":null,"abstract":"<p><p>The exploration of Quantitative Structure-Property Relationship (QSPR) frameworks utilizes topological indices to clarify the chemical and physical attributes of molecular entities. In the current investigation, we initially identified the rho degree of a vertex in conjunction with the Zagreb rho indices associated with connected graphs, marking a notable progression within the field of (chemical) graph theory. We demonstrate that there are correlations exceeding 0.94 between the Zagreb rho indices and the physicochemical properties of benzenes, which encompass boiling point, pi-electron energy, molecular weight, polarization, molecular volume, and relative formula mass. Our results reveal that the correlation coefficients between the Zagreb rho indices and the established degree-based topological indices of benzenes exceed 0.93. Additionally, we performed structural sensitivity and abruptness analyses of these novel indices and compared them with alternative topological indices. The results and analyses provide evidence that Zagreb rho indices are pertinent to QSPR research initiatives.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorial chemistry & high throughput screening","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113862073367066250218103438","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The exploration of Quantitative Structure-Property Relationship (QSPR) frameworks utilizes topological indices to clarify the chemical and physical attributes of molecular entities. In the current investigation, we initially identified the rho degree of a vertex in conjunction with the Zagreb rho indices associated with connected graphs, marking a notable progression within the field of (chemical) graph theory. We demonstrate that there are correlations exceeding 0.94 between the Zagreb rho indices and the physicochemical properties of benzenes, which encompass boiling point, pi-electron energy, molecular weight, polarization, molecular volume, and relative formula mass. Our results reveal that the correlation coefficients between the Zagreb rho indices and the established degree-based topological indices of benzenes exceed 0.93. Additionally, we performed structural sensitivity and abruptness analyses of these novel indices and compared them with alternative topological indices. The results and analyses provide evidence that Zagreb rho indices are pertinent to QSPR research initiatives.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.