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A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity
[Image: see text] Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to develop novel anti-influenza therapeutics. Here, we report computational and experimental efforts to identify influenza neuraminidase inhibitors from among the 3000 na...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340357/ https://www.ncbi.nlm.nih.gov/pubmed/25555059 http://dx.doi.org/10.1021/ci500405g |
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author | Ikram, Nur Kusaira Khairul Durrant, Jacob D. Muchtaridi, Muchtaridi Zalaludin, Ayunni Salihah Purwitasari, Neny Mohamed, Nornisah Rahim, Aisyah Saad Abdul Lam, Chan Kit Normi, Yahaya M. Rahman, Noorsaadah Abd Amaro, Rommie E. Wahab, Habibah A |
author_facet | Ikram, Nur Kusaira Khairul Durrant, Jacob D. Muchtaridi, Muchtaridi Zalaludin, Ayunni Salihah Purwitasari, Neny Mohamed, Nornisah Rahim, Aisyah Saad Abdul Lam, Chan Kit Normi, Yahaya M. Rahman, Noorsaadah Abd Amaro, Rommie E. Wahab, Habibah A |
author_sort | Ikram, Nur Kusaira Khairul |
collection | PubMed |
description | [Image: see text] Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to develop novel anti-influenza therapeutics. Here, we report computational and experimental efforts to identify influenza neuraminidase inhibitors from among the 3000 natural compounds in the Malaysian-Plants Natural-Product (NADI) database. These 3000 compounds were first docked into the neuraminidase active site. The five plants with the largest number of top predicted ligands were selected for experimental evaluation. Twelve specific compounds isolated from these five plants were shown to inhibit neuraminidase, including two compounds with IC(50) values less than 92 μM. Furthermore, four of the 12 isolated compounds had also been identified in the top 100 compounds from the virtual screen. Together, these results suggest an effective new approach for identifying bioactive plant species that will further the identification of new pharmacologically active compounds from diverse natural-product resources. |
format | Online Article Text |
id | pubmed-4340357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-43403572016-01-02 A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity Ikram, Nur Kusaira Khairul Durrant, Jacob D. Muchtaridi, Muchtaridi Zalaludin, Ayunni Salihah Purwitasari, Neny Mohamed, Nornisah Rahim, Aisyah Saad Abdul Lam, Chan Kit Normi, Yahaya M. Rahman, Noorsaadah Abd Amaro, Rommie E. Wahab, Habibah A J Chem Inf Model [Image: see text] Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to develop novel anti-influenza therapeutics. Here, we report computational and experimental efforts to identify influenza neuraminidase inhibitors from among the 3000 natural compounds in the Malaysian-Plants Natural-Product (NADI) database. These 3000 compounds were first docked into the neuraminidase active site. The five plants with the largest number of top predicted ligands were selected for experimental evaluation. Twelve specific compounds isolated from these five plants were shown to inhibit neuraminidase, including two compounds with IC(50) values less than 92 μM. Furthermore, four of the 12 isolated compounds had also been identified in the top 100 compounds from the virtual screen. Together, these results suggest an effective new approach for identifying bioactive plant species that will further the identification of new pharmacologically active compounds from diverse natural-product resources. American Chemical Society 2015-01-02 2015-02-23 /pmc/articles/PMC4340357/ /pubmed/25555059 http://dx.doi.org/10.1021/ci500405g Text en Copyright © 2015 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Ikram, Nur Kusaira Khairul Durrant, Jacob D. Muchtaridi, Muchtaridi Zalaludin, Ayunni Salihah Purwitasari, Neny Mohamed, Nornisah Rahim, Aisyah Saad Abdul Lam, Chan Kit Normi, Yahaya M. Rahman, Noorsaadah Abd Amaro, Rommie E. Wahab, Habibah A A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity |
title | A Virtual Screening Approach For Identifying Plants
with Anti H5N1 Neuraminidase Activity |
title_full | A Virtual Screening Approach For Identifying Plants
with Anti H5N1 Neuraminidase Activity |
title_fullStr | A Virtual Screening Approach For Identifying Plants
with Anti H5N1 Neuraminidase Activity |
title_full_unstemmed | A Virtual Screening Approach For Identifying Plants
with Anti H5N1 Neuraminidase Activity |
title_short | A Virtual Screening Approach For Identifying Plants
with Anti H5N1 Neuraminidase Activity |
title_sort | virtual screening approach for identifying plants
with anti h5n1 neuraminidase activity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340357/ https://www.ncbi.nlm.nih.gov/pubmed/25555059 http://dx.doi.org/10.1021/ci500405g |
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