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In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis

The world is already facing the devastating effects of the SARS-CoV-2 pandemic. A disseminated mucormycosis epidemic emerged to worsen this situation, causing havoc, especially in India. This research aimed to perform a multitargeted docking study of marine-sponge-origin bioactive compounds against...

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Autores principales: Pokharkar, Omkar, Lakshmanan, Hariharan, Zyryanov, Grigory, Tsurkan, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950821/
https://www.ncbi.nlm.nih.gov/pubmed/35323514
http://dx.doi.org/10.3390/md20030215
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author Pokharkar, Omkar
Lakshmanan, Hariharan
Zyryanov, Grigory
Tsurkan, Mikhail
author_facet Pokharkar, Omkar
Lakshmanan, Hariharan
Zyryanov, Grigory
Tsurkan, Mikhail
author_sort Pokharkar, Omkar
collection PubMed
description The world is already facing the devastating effects of the SARS-CoV-2 pandemic. A disseminated mucormycosis epidemic emerged to worsen this situation, causing havoc, especially in India. This research aimed to perform a multitargeted docking study of marine-sponge-origin bioactive compounds against mucormycosis. Information on proven drug targets and marine sponge compounds was obtained via a literature search. A total of seven different targets were selected. Thirty-five compounds were chosen using the PASS online program. For homology modeling and molecular docking, FASTA sequences and 3D structures for protein targets were retrieved from NCBI and PDB databases. Autodock Vina in PyRx 0.8 was used for docking studies. Further, molecular dynamics simulations were performed using the IMODS server for top-ranked docked complexes. Moreover, the drug-like properties and toxicity analyses were performed using Lipinski parameters in Swiss-ADME, OSIRIS, ProTox-II, pkCSM, and StopTox servers. The results indicated that naamine D, latrunculin A and S, (+)-curcudiol, (+)-curcuphenol, aurantoside I, and hyrtimomine A had the highest binding affinity values of −8.8, −8.6, −9.8, −11.4, −8.0, −11.4, and −9.0 kcal/mol, respectively. In sum, all MNPs included in this study are good candidates against mucormycosis. (+)-curcudiol and (+)-curcuphenol are promising compounds due to their broad-spectrum target inhibition potential.
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spelling pubmed-89508212022-03-26 In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis Pokharkar, Omkar Lakshmanan, Hariharan Zyryanov, Grigory Tsurkan, Mikhail Mar Drugs Article The world is already facing the devastating effects of the SARS-CoV-2 pandemic. A disseminated mucormycosis epidemic emerged to worsen this situation, causing havoc, especially in India. This research aimed to perform a multitargeted docking study of marine-sponge-origin bioactive compounds against mucormycosis. Information on proven drug targets and marine sponge compounds was obtained via a literature search. A total of seven different targets were selected. Thirty-five compounds were chosen using the PASS online program. For homology modeling and molecular docking, FASTA sequences and 3D structures for protein targets were retrieved from NCBI and PDB databases. Autodock Vina in PyRx 0.8 was used for docking studies. Further, molecular dynamics simulations were performed using the IMODS server for top-ranked docked complexes. Moreover, the drug-like properties and toxicity analyses were performed using Lipinski parameters in Swiss-ADME, OSIRIS, ProTox-II, pkCSM, and StopTox servers. The results indicated that naamine D, latrunculin A and S, (+)-curcudiol, (+)-curcuphenol, aurantoside I, and hyrtimomine A had the highest binding affinity values of −8.8, −8.6, −9.8, −11.4, −8.0, −11.4, and −9.0 kcal/mol, respectively. In sum, all MNPs included in this study are good candidates against mucormycosis. (+)-curcudiol and (+)-curcuphenol are promising compounds due to their broad-spectrum target inhibition potential. MDPI 2022-03-20 /pmc/articles/PMC8950821/ /pubmed/35323514 http://dx.doi.org/10.3390/md20030215 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pokharkar, Omkar
Lakshmanan, Hariharan
Zyryanov, Grigory
Tsurkan, Mikhail
In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis
title In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis
title_full In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis
title_fullStr In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis
title_full_unstemmed In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis
title_short In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis
title_sort in silico evaluation of antifungal compounds from marine sponges against covid-19-associated mucormycosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950821/
https://www.ncbi.nlm.nih.gov/pubmed/35323514
http://dx.doi.org/10.3390/md20030215
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