| Title |
Design of multiligand inhibitors for the swine flu H1N1 neuraminidase binding site
|
|---|---|
| Published in |
Advances and Applications in Bioinformatics and Chemistry : AABC, August 2013
|
| DOI | 10.2147/aabc.s49503 |
| Pubmed ID | |
| Authors |
Manoj M Narayanan, Chandrasekhar B Nair, Shilpa K Sanjeeva, PV Subba Rao, Phani K Pullela, Colin J Barrow |
| Abstract |
Viral neuraminidase inhibitors such as oseltamivir and zanamivir prevent early virus multiplication by blocking sialic acid cleavage on host cells. These drugs are effective for the treatment of a variety of influenza subtypes, including swine flu (H1N1). The binding site for these drugs is well established and they were designed based on computational docking studies. We show here that some common natural products have moderate inhibitory activity for H1N1 neuraminidase under docking studies. Significantly, docking studies using AutoDock for biligand and triligand forms of these compounds (camphor, menthol, and methyl salicylate linked via methylene bridges) indicate that they may bind in combination with high affinity to the H1N1 neuraminidase active site. These results also indicate that chemically linked biligands and triligands of these natural products could provide a new class of drug leads for the prevention and treatment of influenza. This study also highlights the need for a multiligand docking algorithm to understand better the mode of action of natural products, wherein multiple active ingredients are present. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 27% |
| Researcher | 2 | 18% |
| Professor | 2 | 18% |
| Other | 1 | 9% |
| Lecturer | 1 | 9% |
| Other | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Agricultural and Biological Sciences | 2 | 18% |
| Arts and Humanities | 1 | 9% |
| Immunology and Microbiology | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 2 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 November 2013.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Advances and Applications in Bioinformatics and Chemistry : AABC
#26
of 55 outputs
Outputs of similar age
#132,644
of 210,078 outputs
Outputs of similar age from Advances and Applications in Bioinformatics and Chemistry : AABC
#2
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 55 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 210,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.