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Название: Antiviral Potential of Antillogorgia americana and elisabethae Natural Products against nsp16–nsp10 Complex, nsp13, and nsp14 Proteins of SARS-CoV-2: An In Silico Investigation
Авторы: Pokharkar, O.
Lakshmanan, H.
Zyryanov, G. V.
Tsurkan, M. V.
Дата публикации: 2023
Издатель: Multidisciplinary Digital Publishing Institute (MDPI)
Библиографическое описание: Pokharkar, O, Lakshmanan, H, Zyryanov, GV & Tsurkan, MV 2023, 'Antiviral Potential of Antillogorgia americana and elisabethae Natural Products against nsp16–nsp10 Complex, nsp13, and nsp14 Proteins of SARS-CoV-2: An In Silico Investigation', Microbiology Research, Том. 14, № 3, стр. 993-1019. https://doi.org/10.3390/microbiolres14030068
Pokharkar, O., Lakshmanan, H., Zyryanov, G. V., & Tsurkan, M. V. (2023). Antiviral Potential of Antillogorgia americana and elisabethae Natural Products against nsp16–nsp10 Complex, nsp13, and nsp14 Proteins of SARS-CoV-2: An In Silico Investigation. Microbiology Research, 14(3), 993-1019. https://doi.org/10.3390/microbiolres14030068
Аннотация: Biomolecules of marine origin have many applications in the field of biotechnology and medicine, but still hold great potential as bioactive substances against different diseases. The purification or total synthesis of marine metabolites is expensive, and requires a reliable selection method to reveal their pharmaceutical potential prior to clinical validation. This study aimed to explore the hidden potential of natural products from the gorgonian genus Antillogorgia as anti-SARS-CoV-2 agents, via binding affinity assessments and molecular dynamics (MDs) simulations. The three-dimensional protein structures of the nsp16–nsp10 complex, nsp13, and nsp14 were acquired from the RCSB PDB database. All 165 natural products (NPs) were discovered using the PubChem, ChemSpider, and CMNPD databases. The freeware Autodock Vina was used to conduct the molecular docking procedure, once the proteins and ligands were prepared using BIOVIA discovery studio and Avogadro software v1.95. Before running MDs simulations using the CABS-flex 2.0 website, the binding affinity assessments and amino acid interactions were carefully examined. Just twelve NPs were selected, and five of those NPs interacted optimally with the catalytic amino acids of proteins. To conclude, pseudopterosin A (−8.0 kcal/mol), seco-pseudopterosin A (−7.2 kcal/mol), sandresolide B (−6.2 kcal/mol), elisabatin A (−7.0 kcal/mol), and elisapterosin A (−10.7 kcal/mol) appeared to be the most promising candidates against the nsp16–nsp10, nsp13, and nsp14 proteins. © 2023 by the authors.
Ключевые слова: AMERICANA
ANTILLOGORGIA
ANTIVIRAL
COVID-19
ELISABETHAE
GORGONIAN
NSP13
NSP14
NSP16–NSP10
SARS-COV-2
SOFT CORAL
AMERICANOLIDE D
AMERICANOLIDE E
AMERICANOLIDE F
AMERISTERENOL A
AMERISTEROL A
AMPHILECTOSIN A
AMPHILECTOSIN B
AMPHIPHENALONE
ANTIVIRUS AGENT
ARISTOLONE
CALARENE
CUMBIASIN B
CUMBIASIN C
ELISABATIN A
ELISABETHIN E
ELISABETHOL
ELISAPTEROSIN A
FURANOTRIENE
GORGOSTEROL
HOMOPSEUDOPTEROXAZOLE
HYPERIN
METHOXYAMERICANOLIDE G
METHOXYAMERICANOLIDE H
METHOXYAMERICANOLIDE I
NATURAL PRODUCT
NONSTRUCTURAL PROTEIN 10
NONSTRUCTURAL PROTEIN 13
NONSTRUCTURAL PROTEIN 16
PSEUDOPTEROSIN A
SANDRESOLIDE A
SANDRESOLIDE B
SANDRESOLIDE C
UNCLASSIFIED DRUG
VIRAL NONSTRUCTURAL PROTEIN
ANTHOZOA
ANTILLOGORGIA AMERICANA
ANTILLOGORGIA ELISABETHAE
ANTIVIRAL ACTIVITY
ARTICLE
BINDING AFFINITY
CARCINOGENICITY
COMPUTER MODEL
CORROSION
CRYSTAL STRUCTURE
CYTOTOXICITY
IMMUNOTOXICITY
LIVER TOXICITY
MOLECULAR DOCKING
MOLECULAR DYNAMICS
MUTAGENICITY
PHARMACOKINETICS
SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2
SIMULATION
SKIN SENSITIZATION
TOXICITY TESTING
WATER SOLUBILITY
X RAY DIFFRACTION
URI: http://elar.urfu.ru/handle/10995/130797
Условия доступа: info:eu-repo/semantics/openAccess
cc-by
Текст лицензии: https://creativecommons.org/licenses/by/4.0/
Идентификатор SCOPUS: 85172162846
Идентификатор WOS: 001076376000001
Идентификатор PURE: 46007096
ISSN: 2036-7473
DOI: 10.3390/microbiolres14030068
Сведения о поддержке: Ministry of Education and Science of the Russian Federation, Minobrnauka: 075-15-2022-1118
This work was supported by the Ministry of Science and Higher Education of the Russian Federation, Agreement #075-15-2022-1118, dated 29 June 2022.
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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