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Enhanced ranking of PknB Inhibitors using data fusion methods

Overview of attention for article published in Journal of Cheminformatics, January 2013
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1 Google+ user

Citations

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57 Mendeley
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Title
Enhanced ranking of PknB Inhibitors using data fusion methods
Published in
Journal of Cheminformatics, January 2013
DOI 10.1186/1758-2946-5-2
Pubmed ID
Authors

Abhik Seal, Perumal Yogeeswari, Dharmaranjan Sriram, OSDD Consortium, David J Wild

Abstract

Mycobacterium tuberculosis encodes 11 putative serine-threonine proteins Kinases (STPK) which regulates transcription, cell development and interaction with the host cells. From the 11 STPKs three kinases namely PknA, PknB and PknG have been related to the mycobacterial growth. From previous studies it has been observed that PknB is essential for mycobacterial growth and expressed during log phase of the growth and phosphorylates substrates involved in peptidoglycan biosynthesis. In recent years many high affinity inhibitors are reported for PknB. Previously implementation of data fusion has shown effective enrichment of active compounds in both structure and ligand based approaches .In this study we have used three types of data fusion ranking algorithms on the PknB dataset namely, sum rank, sum score and reciprocal rank. We have identified reciprocal rank algorithm is capable enough to select compounds earlier in a virtual screening process. We have also screened the Asinex database with reciprocal rank algorithm to identify possible inhibitors for PknB.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
India 1 2%
Germany 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Ph. D. Student 9 16%
Student > Bachelor 8 14%
Student > Master 6 11%
Student > Doctoral Student 3 5%
Other 11 19%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 30%
Chemistry 8 14%
Computer Science 5 9%
Medicine and Dentistry 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 8 14%
Unknown 10 18%
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 01 November 2013.
All research outputs
#14,366,444
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#712
of 891 outputs
Outputs of similar age
#168,788
of 291,778 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 19 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 17th percentile – i.e., 17% 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 291,778 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.