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Structural and functional annotation of hypothetical proteins of human adenovirus: prioritizing the novel drug targets

Overview of attention for article published in BMC Research Notes, December 2017
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Title
Structural and functional annotation of hypothetical proteins of human adenovirus: prioritizing the novel drug targets
Published in
BMC Research Notes, December 2017
DOI 10.1186/s13104-017-2992-z
Pubmed ID
Authors

Muhammad Naveed, Sana Tehreem, Muhammad Usman, Zoma Chaudhry, Ghulam Abbas

Abstract

Human adenoviruses are small double stranded DNA viruses that provoke vast array of human diseases. Next generation sequencing techniques increase genomic data of HAdV rapidly, which increase their serotypes. The complete genome sequence of human adenovirus shows that it contains large amount of proteins with unknown cellular or biochemical function, known as hypothetical proteins. Hence, it is indispensable to functionally and structurally annotate these proteins to get better understanding of the novel drug targets. The purpose was the characterization of 38 randomly retrieved hypothetical proteins through determination of their physiochemical properties, subcellular localization, function, structure and ligand binding sites using various sequence and structure based bioinformatics tools. Function of six hypothetical proteins P03269, P03261, P03263, Q83127, Q1L4D7 and I6LEV1 were predicted confidently and then used further for structure analysis. We found that these proteins may act as DNA terminal protein, DNA polymerase, DNA binding protein, adenovirus E3 region protein CR1 and adenoviral protein L1. Functional and structural annotation leading to detection of binding sites by means of docking analysis can indicate potential target for therapeutics to defeat adenoviral infection.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 29%
Student > Master 3 9%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 12 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 35%
Agricultural and Biological Sciences 5 15%
Immunology and Microbiology 2 6%
Neuroscience 2 6%
Unknown 13 38%
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 08 December 2017.
All research outputs
#20,454,971
of 23,011,300 outputs
Outputs from BMC Research Notes
#3,580
of 4,284 outputs
Outputs of similar age
#375,085
of 439,982 outputs
Outputs of similar age from BMC Research Notes
#156
of 194 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.