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QSPR Modeling of Status-Based Topological Indices with COVID-19 Drugs
Polycyclic Aromatic Compounds ; : 1-20, 2022.
Article in English | Academic Search Complete | ID: covidwho-2050915
ABSTRACT
The severe acute metabolic process syndrome coronavirus-2 (SARS-CoV-2) virus strain causes an unique Corona viral (COVID-19) disease. It was initially documented in the foreign country of China, and it has since spread around the world. Fever, cough, and runny nose are among the symptoms of this illness, which mostly affects the respiratory system. The peculiar thing is that there is no therapy or vaccine available for this sickness. Clinical trials for a corona virus vaccine are still ongoing, with the vaccine likely to be available by 2021. Until then, the only way to deal with or control the virus’s spread is to take preventative precautions. The numerical descriptors of a molecule structure obtained by the molecular graph are known as topological indices. These can be utilized in structure-property relationship (QSPR) and structure-activity relationship (QSAR) investigations to learn a lot about a molecule’s physicochemical and biological properties. Lopinavir, ritonavir, arbidol, thalidomide, chloroquine, hydroxy-chloroquine, theaflavin, and remdesivir are investigated in this research as crucial lights in COVID-19 treatment. For chemical graphs of these medications, some status distance-based topological indices are constructed. Furthermore, these topological indices are used in the QSPR models to estimate some of the medications’ physicochemical properties. The results of the QSPR experiments, which were acquired using the polynomial regression technique, can contribute in the development of new drugs for the treatment of COVID-19. [ FROM AUTHOR] Copyright of Polycyclic Aromatic Compounds is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: Polycyclic Aromatic Compounds Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: Polycyclic Aromatic Compounds Year: 2022 Document Type: Article