A virtual screening approach for identifying plants with anti H5N1 neuraminidase activity

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...

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Main Authors: Ikram, N.K.K., Durrant, J.D., Muchtaridi, M., Zalaludin, A.S., Purwitasari, N., Mohamed, N., Rahim, A.S.A., Lam, C.K., Normi, Y.M., Rahman, N.A., Amaro, R.E., Wahab, H.A.
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Language:English
Published: 2017
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spelling my.uniten.dspace-35122020-06-25T07:50:13Z A virtual screening approach for identifying plants with anti H5N1 neuraminidase activity Ikram, N.K.K. Durrant, J.D. Muchtaridi, M. Zalaludin, A.S. Purwitasari, N. Mohamed, N. Rahim, A.S.A. Lam, C.K. Normi, Y.M. Rahman, N.A. Amaro, R.E. Wahab, H.A. 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 IC50 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. © 2015 American Chemical Society. 2017-10-27T06:55:16Z 2017-10-27T06:55:16Z 2015 Article 10.1021/ci500405g en Journal of Chemical Information and Modeling Volume 55, Issue 2, 23 February 2015, Pages 308-316
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description 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 IC50 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. © 2015 American Chemical Society.
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author Ikram, N.K.K.
Durrant, J.D.
Muchtaridi, M.
Zalaludin, A.S.
Purwitasari, N.
Mohamed, N.
Rahim, A.S.A.
Lam, C.K.
Normi, Y.M.
Rahman, N.A.
Amaro, R.E.
Wahab, H.A.
spellingShingle Ikram, N.K.K.
Durrant, J.D.
Muchtaridi, M.
Zalaludin, A.S.
Purwitasari, N.
Mohamed, N.
Rahim, A.S.A.
Lam, C.K.
Normi, Y.M.
Rahman, N.A.
Amaro, R.E.
Wahab, H.A.
A virtual screening approach for identifying plants with anti H5N1 neuraminidase activity
author_facet Ikram, N.K.K.
Durrant, J.D.
Muchtaridi, M.
Zalaludin, A.S.
Purwitasari, N.
Mohamed, N.
Rahim, A.S.A.
Lam, C.K.
Normi, Y.M.
Rahman, N.A.
Amaro, R.E.
Wahab, H.A.
author_sort Ikram, N.K.K.
title 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_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_sort virtual screening approach for identifying plants with anti h5n1 neuraminidase activity
publishDate 2017
_version_ 1671342876293857280
score 13.160551