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Anglický jazyk
QT Analysis Through Topological Descriptors of COVID ¿ 19 Drugs
Autor: K. Pattabiraman
One of the most infectious diseases in recorded human history, Coronavirus Disease-19 (COVID-19), is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related illness that has already claimed millions of lives throughout the globe. There are... Viac o knihe
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O knihe
One of the most infectious diseases in recorded human history, Coronavirus Disease-19 (COVID-19), is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related illness that has already claimed millions of lives throughout the globe. There are currently no known vaccinations or viable treatments that can effectively treat COVID-19 patients or stop the virus from spreading. The development of medications and vaccinations may take a long time, but scientific communities all around the world have responded quickly and have been working nonstop on them. Repurposing the already available antiviral medications may be the best course of action in the face of this uncertainty to hasten the development of efficient treatments for SARS-CoV-2. Updated information is also required on potential pharmacological targets, therapeutic and vaccine development, and results. For numerous COVID-19 antiviral medications, we suggest status distance-based polynomials and topological descriptors in this work. We also examine the suggested topological indices' QSPR model. The discovery of novel medications for the treatment of COVID-19 may be aided by our models and findings.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2023
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786206145295
