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A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity

Overview of attention for article published in Journal of Chemical Information and Modeling, January 2015
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3 X users

Citations

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41 Dimensions

Readers on

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106 Mendeley
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1 CiteULike
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Title
A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity
Published in
Journal of Chemical Information and Modeling, January 2015
DOI 10.1021/ci500405g
Pubmed ID
Authors

Nur Kusaira Khairul Ikram, Jacob D. Durrant, Muchtaridi Muchtaridi, Ayunni Salihah Zalaludin, Neny Purwitasari, Nornisah Mohamed, Aisyah Saad Abdul Rahim, Chan Kit Lam, Yahaya M. Normi, Noorsaadah Abd Rahman, Rommie E. Amaro, Habibah A Wahab

Abstract

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 twelve 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Brazil 1 <1%
Unknown 103 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 19%
Student > Ph. D. Student 16 15%
Researcher 10 9%
Professor 7 7%
Lecturer 5 5%
Other 18 17%
Unknown 30 28%
Readers by discipline Count As %
Chemistry 27 25%
Pharmacology, Toxicology and Pharmaceutical Science 15 14%
Agricultural and Biological Sciences 8 8%
Biochemistry, Genetics and Molecular Biology 8 8%
Medicine and Dentistry 4 4%
Other 12 11%
Unknown 32 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2023.
All research outputs
#15,794,605
of 25,452,734 outputs
Outputs from Journal of Chemical Information and Modeling
#1
of 1 outputs
Outputs of similar age
#196,395
of 361,987 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#30
of 56 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.