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Mining Predicted Essential Genes of Brugia malayi for Nematode Drug Targets

Overview of attention for article published in PLOS ONE, November 2007
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Citations

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95 Mendeley
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6 CiteULike
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Title
Mining Predicted Essential Genes of Brugia malayi for Nematode Drug Targets
Published in
PLOS ONE, November 2007
DOI 10.1371/journal.pone.0001189
Pubmed ID
Authors

Sanjay Kumar, Kshitiz Chaudhary, Jeremy M. Foster, Jacopo F. Novelli, Yinhua Zhang, Shiliang Wang, David Spiro, Elodie Ghedin, Clotilde K. S. Carlow

Abstract

We report results from the first genome-wide application of a rational drug target selection methodology to a metazoan pathogen genome, the completed draft sequence of Brugia malayi, a parasitic nematode responsible for human lymphatic filariasis. More than 1.5 billion people worldwide are at risk of contracting lymphatic filariasis and onchocerciasis, a related filarial disease. Drug treatments for filariasis have not changed significantly in over 20 years, and with the risk of resistance rising, there is an urgent need for the development of new anti-filarial drug therapies. The recent publication of the draft genomic sequence for B. malayi enables a genome-wide search for new drug targets. However, there is no functional genomics data in B. malayi to guide the selection of potential drug targets. To circumvent this problem, we have utilized the free-living model nematode Caenorhabditis elegans as a surrogate for B. malayi. Sequence comparisons between the two genomes allow us to map C. elegans orthologs to B. malayi genes. Using these orthology mappings and by incorporating the extensive genomic and functional genomic data, including genome-wide RNAi screens, that already exist for C. elegans, we identify potentially essential genes in B. malayi. Further incorporation of human host genome sequence data and a custom algorithm for prioritization enables us to collect and rank nearly 600 drug target candidates. Previously identified potential drug targets cluster near the top of our prioritized list, lending credibility to our methodology. Over-represented Gene Ontology terms, predicted InterPro domains, and RNAi phenotypes of C. elegans orthologs associated with the potential target pool are identified. By virtue of the selection procedure, the potential B. malayi drug targets highlight components of key processes in nematode biology such as central metabolism, molting and regulation of gene expression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 3%
Uruguay 1 1%
Brazil 1 1%
Kenya 1 1%
United Kingdom 1 1%
Russia 1 1%
Unknown 87 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Researcher 17 18%
Student > Master 14 15%
Student > Postgraduate 6 6%
Student > Bachelor 5 5%
Other 11 12%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 41%
Biochemistry, Genetics and Molecular Biology 13 14%
Medicine and Dentistry 6 6%
Computer Science 5 5%
Chemistry 5 5%
Other 11 12%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2010.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from PLOS ONE
#76,338
of 193,497 outputs
Outputs of similar age
#22,594
of 76,011 outputs
Outputs of similar age from PLOS ONE
#113
of 198 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 193,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 76,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.