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Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches
The Rift Valley fever virus (RVFV) is a zoonotic arbovirus and pathogenic to both humans and animals. Currently, no proven effective RVFV drugs or licensed vaccine are available for human or animal use. Hence, there is an urgent need to develop effective treatment options to control this viral infec...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163866/ https://www.ncbi.nlm.nih.gov/pubmed/35662263 http://dx.doi.org/10.1038/s41598-022-13267-1 |
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author | Fatima, Israr Ahmad, Sajjad Alamri, Mubarak A. Mirza, Muhammad Usman Tahir ul Qamar, Muhammad Rehman, Abdur Shahid, Farah Alatawi, Eid A. Alkhayl, Faris F. Aba Al-Megrin, Wafa Abdullah Almatroudi, Ahmad |
author_facet | Fatima, Israr Ahmad, Sajjad Alamri, Mubarak A. Mirza, Muhammad Usman Tahir ul Qamar, Muhammad Rehman, Abdur Shahid, Farah Alatawi, Eid A. Alkhayl, Faris F. Aba Al-Megrin, Wafa Abdullah Almatroudi, Ahmad |
author_sort | Fatima, Israr |
collection | PubMed |
description | The Rift Valley fever virus (RVFV) is a zoonotic arbovirus and pathogenic to both humans and animals. Currently, no proven effective RVFV drugs or licensed vaccine are available for human or animal use. Hence, there is an urgent need to develop effective treatment options to control this viral infection. RVFV glycoprotein N (GN), glycoprotein C (GC), and nucleocapsid (N) proteins are attractive antiviral drug targets due to their critical roles in RVFV replication. In present study, an integrated docking-based virtual screening of more than 6000 phytochemicals with known antiviral activities against these conserved RVFV proteins was conducted. The top five hit compounds, calyxin C, calyxin D, calyxin J, gericudranins A, and blepharocalyxin C displayed optimal binding against all three target proteins. Moreover, multiple parameters from the molecular dynamics (MD) simulations and MM/GBSA analysis confirmed the stability of protein–ligand complexes and revealed that these compounds may act as potential pan-inhibitors of RVFV replication. Our computational analyses may contribute toward the development of promising effective drugs against RVFV infection. |
format | Online Article Text |
id | pubmed-9163866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91638662022-06-04 Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches Fatima, Israr Ahmad, Sajjad Alamri, Mubarak A. Mirza, Muhammad Usman Tahir ul Qamar, Muhammad Rehman, Abdur Shahid, Farah Alatawi, Eid A. Alkhayl, Faris F. Aba Al-Megrin, Wafa Abdullah Almatroudi, Ahmad Sci Rep Article The Rift Valley fever virus (RVFV) is a zoonotic arbovirus and pathogenic to both humans and animals. Currently, no proven effective RVFV drugs or licensed vaccine are available for human or animal use. Hence, there is an urgent need to develop effective treatment options to control this viral infection. RVFV glycoprotein N (GN), glycoprotein C (GC), and nucleocapsid (N) proteins are attractive antiviral drug targets due to their critical roles in RVFV replication. In present study, an integrated docking-based virtual screening of more than 6000 phytochemicals with known antiviral activities against these conserved RVFV proteins was conducted. The top five hit compounds, calyxin C, calyxin D, calyxin J, gericudranins A, and blepharocalyxin C displayed optimal binding against all three target proteins. Moreover, multiple parameters from the molecular dynamics (MD) simulations and MM/GBSA analysis confirmed the stability of protein–ligand complexes and revealed that these compounds may act as potential pan-inhibitors of RVFV replication. Our computational analyses may contribute toward the development of promising effective drugs against RVFV infection. Nature Publishing Group UK 2022-06-03 /pmc/articles/PMC9163866/ /pubmed/35662263 http://dx.doi.org/10.1038/s41598-022-13267-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Fatima, Israr Ahmad, Sajjad Alamri, Mubarak A. Mirza, Muhammad Usman Tahir ul Qamar, Muhammad Rehman, Abdur Shahid, Farah Alatawi, Eid A. Alkhayl, Faris F. Aba Al-Megrin, Wafa Abdullah Almatroudi, Ahmad Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
title | Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
title_full | Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
title_fullStr | Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
title_full_unstemmed | Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
title_short | Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
title_sort | discovery of rift valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163866/ https://www.ncbi.nlm.nih.gov/pubmed/35662263 http://dx.doi.org/10.1038/s41598-022-13267-1 |
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