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J Basic Clin Physiol Pharmacol ; 32(3): 197-214, 2021 Feb 17.
Artigo em Inglês | MEDLINE | ID: mdl-33594850

RESUMO

OBJECTIVES: Presently, the pandemic of COVID-19 has worsened the situation worldwide and received global attention. The United States of America have the highest numbers of a patient infected by this disease followed by Brazil, Russia, India and many other countries. Moreover, lots of research is going on to find out effective vaccines or medicine, but still, no potent vaccine or drug is discovered to cure COVID-19. As a consequence, many types of research have designated that computer-based studies, such as protein-ligand interactions, structural dynamics, and chembio modeling are the finest choice due to its low cost and time-saving features. Here, oxindole derivatives have been chosen for docking because of their immense pharmacological applications like antiviral, antidiabetic, anti-inflammatory, and so on. Molecular docking of 30 oxindole derivatives done on the crystallized structure of the protein (COVID-19 Mpro). METHODS: The process of docking, interaction, and binding the structure of ligand with protein has executed using Molegro Virtual Docker v.7.0.0 (MVD) and visualized the usage by Molegro Molecular Viewer v.7.0.0 (MMV). RESULTS: Among the 30 derivatives, the outcomes depicted better steric interaction and hydrogen bonding amongst OD-22 ligand, OD-16 ligand, OD-4 ligand, and OD-9 ligand (oxindole derivatives) with COVID-19. In addition to this, the comparative study of these four compounds with existing drugs that are under clinical trials shows comparatively good results in terms of its MolDock scores, H-bonding and steric interactions. CONCLUSIONS: Hence, It is proposed that these four oxindole derivatives have good potential as a new drug against coronavirus as possible therapeutic agents.


Assuntos
Antivirais/farmacologia , Tratamento Farmacológico da COVID-19 , Desenho de Fármacos , Simulação de Acoplamento Molecular , Oxindóis/farmacologia , SARS-CoV-2/efeitos dos fármacos , Antivirais/química , COVID-19/virologia , Desenho Assistido por Computador , Humanos , Ligantes , Estrutura Molecular , Oxindóis/química , Ligação Proteica , SARS-CoV-2/patogenicidade , Relação Estrutura-Atividade
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