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Molecular Recognition Features in Zika Virus Proteome

Overview of attention for article published in Journal of Molecular Biology, November 2017
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Title
Molecular Recognition Features in Zika Virus Proteome
Published in
Journal of Molecular Biology, November 2017
DOI 10.1016/j.jmb.2017.10.018
Pubmed ID
Authors

Pushpendra Mani Mishra, Vladimir N. Uversky, Rajanish Giri

Abstract

Viruses have compact genomes that encode limited number of proteins in comparison to other biological entities. Interestingly, viral proteins have shown natural abundance of either completely disordered proteins that are recognized as intrinsically disorder proteins (IDPs) or partially disordered segments known as intrinsically disordered protein regions (IDPRs). IDPRs are involved in interactions with multiple binding partners to accomplish signaling, regulation, and control functions in cells. Tuning of IDPs and IDPRs are mediated through post-translational modification and alternative splicing. Often, the interactions of IDPRs with their binding protein partner(s) lead to transition from the state of disorder to ordered form. Such interaction-prone protein IDPRs are identified as molecular recognition features (MoRFs). Molecular recognition is an important initial step for the biomolecular interactions and their functional proceedings. Although previous studies have established occurrence of the IDPRs in Zika virus proteome, which provide the functional diversity and structural plasticity to viral proteins, the MoRF analysis has not been performed as of yet. Many computational methods have been developed for the identification of the MoRFs in protein sequences including ANCHOR, MoRFpred, DISOPRED3, and MoRFchibi_web server. In the current study, we have investigated the presence of MoRF regions in structural and non-structural proteins of Zika virus using an aforementioned set of computational techniques. Further, we have experimentally validated the intrinsic disorderness of NS2B cofactor region of NS2B-NS3 protease. NS2B has one of the longest MoRF regions in Zika virus proteome. In future, this study may provide valuable information while investigating the virus host protein interaction networks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Student > Bachelor 13 17%
Student > Master 12 16%
Researcher 8 11%
Student > Doctoral Student 6 8%
Other 9 12%
Unknown 10 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 36%
Agricultural and Biological Sciences 7 9%
Chemistry 5 7%
Immunology and Microbiology 4 5%
Medicine and Dentistry 4 5%
Other 11 15%
Unknown 17 23%
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 30 June 2018.
All research outputs
#16,051,091
of 25,382,440 outputs
Outputs from Journal of Molecular Biology
#10,229
of 11,924 outputs
Outputs of similar age
#195,237
of 342,928 outputs
Outputs of similar age from Journal of Molecular Biology
#29
of 43 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,924 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 13th percentile – i.e., 13% 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 342,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.