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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2015
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.
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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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