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The Development of Pharmacophore Models for the Search of New Natural Inhibitors of SARS-CoV-2 Spike RBD-ACE2 Binding Interface.
Semenov, Valentin A; Krivdin, Leonid B.
  • Semenov VA; A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, Favorsky St. 1, 664033 Irkutsk, Russia.
  • Krivdin LB; A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, Favorsky St. 1, 664033 Irkutsk, Russia.
Molecules ; 27(24)2022 Dec 15.
Article in English | MEDLINE | ID: covidwho-2163531
ABSTRACT
To date, some succeeding variants of SARS-CoV-2 have become more contagious. This virus is known to enter human cells by binding the receptor-binding domain (RBD) of spike protein with the angiotensin-converting enzyme 2 (ACE2), the latter being a membrane protein that regulates the renin-angiotensin system. Since the host cell receptor plays a critical role in viral entry, inhibition of the RBD-ACE2 complex is a promising strategy for preventing COVID-19 infection. In the present communication, we propose and utilize an approach based on the generation of a complex of pharmacophore models and subsequent Induced Fit Docking (IFD) to identify potential inhibitors of the main binding sites of the Omicron SARS-CoV-2 RBD(S1)-ACE2 complex (PDB ID 7T9L) among a number of natural products of various types and origins. Several natural compounds have been found to provide a high affinity for the receptor of interest. It is expected that the present results will stimulate further research aimed at the development of specialized drugs against this virus.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Angiotensin-Converting Enzyme 2 / COVID-19 Topics: Variants Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27248938

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Angiotensin-Converting Enzyme 2 / COVID-19 Topics: Variants Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27248938