QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment

In chemistry and medical sciences, it is essential to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals. To save time and money, mathematical chemistry focuses on topological indices used in quantitative structure-property relationship (QSPR) models to predict the...

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Main Authors: Vignesh Ravi, Natarajan Chidambaram, Özge Çolakoğlu, Hanan Ahmed, Subhasri Jaganathan, Jayasri Jaganathan
Format: Article
Language:English
Published: Hindawi Limited 2023-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2023/1187415
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author Vignesh Ravi
Natarajan Chidambaram
Özge Çolakoğlu
Hanan Ahmed
Subhasri Jaganathan
Jayasri Jaganathan
author_facet Vignesh Ravi
Natarajan Chidambaram
Özge Çolakoğlu
Hanan Ahmed
Subhasri Jaganathan
Jayasri Jaganathan
author_sort Vignesh Ravi
collection DOAJ
description In chemistry and medical sciences, it is essential to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals. To save time and money, mathematical chemistry focuses on topological indices used in quantitative structure-property relationship (QSPR) models to predict the properties of chemical structures. The COVID-19 pandemic is widely recognized as the greatest life-threatening crisis facing modern medicine. Scientists have tested various antiviral drugs available to treat COVID-19 disease, and some have found that they help get rid of this viral infection. Antiviral drugs such as Arbidol, chloroquine, hydroxychloroquine, lopinavir, remdesivir, ritonavir, thalidomide, and theaflavin are used to treat COVID-19. In this paper, reformulated leap Zagreb indices are introduced. Then, the reformulated leap Zagreb indices, leap eccentric connectivity indices, and reformulated Zagreb connectivity indices of these antiviral drugs are calculated. Curvilinear and multilinear regression models predicting the physicochemical properties of these antiviral drugs in terms of proposed indices are obtained and analyzed. The findings and models of this study will shed light on new drug discoveries for the treatment of COVID-19.
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spelling doaj.art-3f2ffa416dac4d699042f4ecc31645912023-05-03T00:00:02ZengHindawi LimitedJournal of Mathematics2314-47852023-01-01202310.1155/2023/1187415QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 TreatmentVignesh Ravi0Natarajan Chidambaram1Özge Çolakoğlu2Hanan Ahmed3Subhasri Jaganathan4Jayasri Jaganathan5Division of MathematicsDepartment of MathematicsMathematics DepartmentDepartment of MathematicsDepartment of MathematicsDepartment of MathematicsIn chemistry and medical sciences, it is essential to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals. To save time and money, mathematical chemistry focuses on topological indices used in quantitative structure-property relationship (QSPR) models to predict the properties of chemical structures. The COVID-19 pandemic is widely recognized as the greatest life-threatening crisis facing modern medicine. Scientists have tested various antiviral drugs available to treat COVID-19 disease, and some have found that they help get rid of this viral infection. Antiviral drugs such as Arbidol, chloroquine, hydroxychloroquine, lopinavir, remdesivir, ritonavir, thalidomide, and theaflavin are used to treat COVID-19. In this paper, reformulated leap Zagreb indices are introduced. Then, the reformulated leap Zagreb indices, leap eccentric connectivity indices, and reformulated Zagreb connectivity indices of these antiviral drugs are calculated. Curvilinear and multilinear regression models predicting the physicochemical properties of these antiviral drugs in terms of proposed indices are obtained and analyzed. The findings and models of this study will shed light on new drug discoveries for the treatment of COVID-19.http://dx.doi.org/10.1155/2023/1187415
spellingShingle Vignesh Ravi
Natarajan Chidambaram
Özge Çolakoğlu
Hanan Ahmed
Subhasri Jaganathan
Jayasri Jaganathan
QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment
Journal of Mathematics
title QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment
title_full QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment
title_fullStr QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment
title_full_unstemmed QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment
title_short QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment
title_sort qspr study and distance based new topological descriptors of some drugs used in the covid 19 treatment
url http://dx.doi.org/10.1155/2023/1187415
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