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An innovative method for the selection of inhibitors of the viral spike-glycoprotein of the SARS-CoV.
Koshlan, T V; Kulikov, K G.
  • Koshlan TV; Department of Molecular Biophysics, St. Petersburg State University, 199034 St. Petersburg, Russia.
  • Kulikov KG; Department of Medical Physics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
J Bioinform Comput Biol ; 19(1): 2050043, 2021 02.
Article in English | MEDLINE | ID: covidwho-936942
ABSTRACT
This paper has developed and described a detailed method for selecting inhibitors based on modified natural peptides for the SARS-CoV BJ01 spike-glycoprotein. The selection of inhibitors is carried out by increasing the affinity of the peptide to the active center of the protein. This paper also provides a step-by-step algorithm for analyzing the affinity of protein interactions and presents an analysis of energy interactions between the active center of a protein and the wild-type peptide interacting with it, taking into account modifications of the latter. A description of the software package that implements the presented algorithm is given on the website https//binomlabs.com/covid19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Drug Evaluation, Preclinical / Spike Glycoprotein, Coronavirus Type of study: Prognostic study Topics: Traditional medicine Language: English Journal: J Bioinform Comput Biol Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: S0219720020500432

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Drug Evaluation, Preclinical / Spike Glycoprotein, Coronavirus Type of study: Prognostic study Topics: Traditional medicine Language: English Journal: J Bioinform Comput Biol Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: S0219720020500432