{"title":"使用拓扑描述符对杀菌剂的QSPR建模。","authors":"Saima Parveen, Fatima Saeed, Fozia Bashir Farooq, Nusrat Parveen, Nazeran Idrees, Sumiya Nasir, Rakotondrajao Fanja","doi":"10.1155/2023/9625588","DOIUrl":null,"url":null,"abstract":"<p><p>A topological index is a real number that is obtained from a chemical graph's structure. Determining the physiochemical and biological characteristics of a variety of medications is useful since it more accurately represents the theoretical characteristics of organic molecules. This is accomplished using degree-based topological indices. The QSPR research has improved the structural understanding of the physiochemical properties of fungicides. Thirteen fungicides are examined for some of their physiochemical properties, and a QSPR model is built using nine of the drugs' topological indices. Here, we examine the degree to which the topological indices and physiochemical attributes are connected. To do this, we create networks connecting each of the topological indices to the properties of fungicides and computationally construct topological indices of the drugs mentioned above. According to this QSPR model, the melting point, boiling point, flash point, complexity, surface tension, etc. of fungicides are strongly connected. It was discovered that the topological indices (TIs) applied to the fungicides more accurately represent their theoretical features and show a strong correlation with their physical attributes.</p>","PeriodicalId":13888,"journal":{"name":"International Journal of Analytical Chemistry","volume":"2023 ","pages":"9625588"},"PeriodicalIF":1.5000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560116/pdf/","citationCount":"0","resultStr":"{\"title\":\"QSPR Modeling of Fungicides Using Topological Descriptors.\",\"authors\":\"Saima Parveen, Fatima Saeed, Fozia Bashir Farooq, Nusrat Parveen, Nazeran Idrees, Sumiya Nasir, Rakotondrajao Fanja\",\"doi\":\"10.1155/2023/9625588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A topological index is a real number that is obtained from a chemical graph's structure. Determining the physiochemical and biological characteristics of a variety of medications is useful since it more accurately represents the theoretical characteristics of organic molecules. This is accomplished using degree-based topological indices. The QSPR research has improved the structural understanding of the physiochemical properties of fungicides. Thirteen fungicides are examined for some of their physiochemical properties, and a QSPR model is built using nine of the drugs' topological indices. Here, we examine the degree to which the topological indices and physiochemical attributes are connected. To do this, we create networks connecting each of the topological indices to the properties of fungicides and computationally construct topological indices of the drugs mentioned above. According to this QSPR model, the melting point, boiling point, flash point, complexity, surface tension, etc. of fungicides are strongly connected. It was discovered that the topological indices (TIs) applied to the fungicides more accurately represent their theoretical features and show a strong correlation with their physical attributes.</p>\",\"PeriodicalId\":13888,\"journal\":{\"name\":\"International Journal of Analytical Chemistry\",\"volume\":\"2023 \",\"pages\":\"9625588\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560116/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/9625588\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1155/2023/9625588","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
QSPR Modeling of Fungicides Using Topological Descriptors.
A topological index is a real number that is obtained from a chemical graph's structure. Determining the physiochemical and biological characteristics of a variety of medications is useful since it more accurately represents the theoretical characteristics of organic molecules. This is accomplished using degree-based topological indices. The QSPR research has improved the structural understanding of the physiochemical properties of fungicides. Thirteen fungicides are examined for some of their physiochemical properties, and a QSPR model is built using nine of the drugs' topological indices. Here, we examine the degree to which the topological indices and physiochemical attributes are connected. To do this, we create networks connecting each of the topological indices to the properties of fungicides and computationally construct topological indices of the drugs mentioned above. According to this QSPR model, the melting point, boiling point, flash point, complexity, surface tension, etc. of fungicides are strongly connected. It was discovered that the topological indices (TIs) applied to the fungicides more accurately represent their theoretical features and show a strong correlation with their physical attributes.
期刊介绍:
International Journal of Analytical Chemistry publishes original research articles that report new experimental results and methods, especially in relation to important analytes, difficult matrices, and topical samples. Investigations may be fundamental, or else related to specific applications; examples being biological, environmental and food testing, and analysis in chemical synthesis and materials processing.
As well as original research, the International Journal of Analytical Chemistry also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.