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Screening Pipeline for Flavivirus Based Inhibitors for Zika Virus NS1

Overview of attention for article published in IEEE/ACM Transactions on Computational Biology and Bioinformatics, April 2019
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Title
Screening Pipeline for Flavivirus Based Inhibitors for Zika Virus NS1
Published in
IEEE/ACM Transactions on Computational Biology and Bioinformatics, April 2019
DOI 10.1109/tcbb.2019.2911081
Pubmed ID
Authors

Saad Raza, Ghulam Abbas, Syed Sikander Azam

Abstract

In-silico pipeline is applied for identifying and designing novel inhibitors against ZIKV NS1 protein. Comparative molecular docking studies are performed to explore the binding of structurally diverse compounds to ZIKV NS1 by AutoDock/Vina and GOLD. The Zika virus (ZIKV) is a flavivirus, responsible for life-threatening infections and transmitted by Aedes mosquitoes in other organisms. It is associated with Guillain Barre Syndrome (GBS) and microcephaly. This epidemic increase in GBS and microcephaly convoyed the World Health Organization to affirm ZIKV a public health crisis. To combat the ZIKV infections, non-structural protein 1 (NS1), a major host-interaction molecule contributing towards replication, pathogenesis and immune evasion is targeted in the current study. For this purpose, a comprehensive study is required to develop potential novel antiviral inhibitors. Three compounds were identified through docking programs exhibiting properties which are non-toxic to human host and could inhibit the elusive ZIKV. Significant interaction with active site residues and H-bond interactions with the key residues were analyzed for these compounds using molecular dynamics simulation. Free energy calculation predicted higher affinity of Deoxycalyxin-A for ZIKV NS1. This study contributes towards fighting ZIKV infections and can help researchers in designing drug for the treatment of ZIKV.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 26%
Student > Ph. D. Student 6 13%
Researcher 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 2 4%
Other 4 9%
Unknown 14 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 19%
Medicine and Dentistry 6 13%
Computer Science 4 9%
Agricultural and Biological Sciences 3 6%
Unspecified 2 4%
Other 7 15%
Unknown 16 34%
Attention Score in Context

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 17 April 2019.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from IEEE/ACM Transactions on Computational Biology and Bioinformatics
#629
of 1,081 outputs
Outputs of similar age
#264,509
of 364,697 outputs
Outputs of similar age from IEEE/ACM Transactions on Computational Biology and Bioinformatics
#8
of 13 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,081 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 38th percentile – i.e., 38% 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 364,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.