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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 accompli...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560116/ https://www.ncbi.nlm.nih.gov/pubmed/37810910 http://dx.doi.org/10.1155/2023/9625588 |
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author | Parveen, Saima Saeed, Fatima Farooq, Fozia Bashir Parveen, Nusrat Idrees, Nazeran Nasir, Sumiya Fanja, Rakotondrajao |
author_facet | Parveen, Saima Saeed, Fatima Farooq, Fozia Bashir Parveen, Nusrat Idrees, Nazeran Nasir, Sumiya Fanja, Rakotondrajao |
author_sort | Parveen, Saima |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10560116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-105601162023-10-08 QSPR Modeling of Fungicides Using Topological Descriptors Parveen, Saima Saeed, Fatima Farooq, Fozia Bashir Parveen, Nusrat Idrees, Nazeran Nasir, Sumiya Fanja, Rakotondrajao Int J Anal Chem Research Article 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. Hindawi 2023-09-30 /pmc/articles/PMC10560116/ /pubmed/37810910 http://dx.doi.org/10.1155/2023/9625588 Text en Copyright © 2023 Saima Parveen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Parveen, Saima Saeed, Fatima Farooq, Fozia Bashir Parveen, Nusrat Idrees, Nazeran Nasir, Sumiya Fanja, Rakotondrajao QSPR Modeling of Fungicides Using Topological Descriptors |
title | QSPR Modeling of Fungicides Using Topological Descriptors |
title_full | QSPR Modeling of Fungicides Using Topological Descriptors |
title_fullStr | QSPR Modeling of Fungicides Using Topological Descriptors |
title_full_unstemmed | QSPR Modeling of Fungicides Using Topological Descriptors |
title_short | QSPR Modeling of Fungicides Using Topological Descriptors |
title_sort | qspr modeling of fungicides using topological descriptors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560116/ https://www.ncbi.nlm.nih.gov/pubmed/37810910 http://dx.doi.org/10.1155/2023/9625588 |
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