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Compensatory variances of drug-induced hepatitis B virus YMDD mutations

Overview of attention for article published in SpringerPlus, August 2016
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Title
Compensatory variances of drug-induced hepatitis B virus YMDD mutations
Published in
SpringerPlus, August 2016
DOI 10.1186/s40064-016-3003-x
Pubmed ID
Authors

Ying Cai, Ning Wang, Xiaomei Wu, Kai Zheng, Yan Li

Abstract

Although the drug-induced mutations of HBV have been ever documented, the evolutionary mechanism is still obscure. To deeply reveal molecular characters of HBV evolution under the special condition, here we made a comprehensive investigation of the molecular variation of the 3432 wild-type sequences and 439 YMDD variants from HBV genotype A, B, C and D, and evaluated the co-variant patterns and the frequency distribution in the different YMDD mutation types and genotypes, by using the naïve Bayes classification algorithm and the complete induction method based on the comparative sequence analysis. The data showed different compensatory changes followed by the rtM204I/V. Although occurrence of the YMDD mutation itself was not related to the HBV genotypes, the subsequence co-variant patterns were related to the YMDD variant types and HBV genotypes. From the hierarchy view, we clarified that historical mutations, drug-induced mutation and compensatory variances, and displayed an inter-conditioned relationship of amino acid variances during multiple evolutionary processes. This study extends the understanding of the polymorphism and fitness of viral protein.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Student > Bachelor 3 16%
Professor 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 3 16%
Unknown 3 16%
Readers by discipline Count As %
Immunology and Microbiology 4 21%
Medicine and Dentistry 3 16%
Psychology 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Computer Science 1 5%
Other 2 11%
Unknown 4 21%
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 15 August 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from SpringerPlus
#1,262
of 1,851 outputs
Outputs of similar age
#273,862
of 355,875 outputs
Outputs of similar age from SpringerPlus
#162
of 215 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,851 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.