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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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  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
googleplus
1 Google+ user

Readers on

mendeley
50 Mendeley
citeulike
1 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 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 47 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 30%
Student > Ph. D. Student 8 16%
Student > Bachelor 7 14%
Student > Master 5 10%
Student > Postgraduate 3 6%
Other 10 20%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 36%
Chemistry 9 18%
Computer Science 4 8%
Medicine and Dentistry 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 7 14%
Unknown 5 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#6,257,756
of 11,878,506 outputs
Outputs from Journal of Cheminformatics
#316
of 465 outputs
Outputs of similar age
#122,299
of 305,736 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 20 outputs
Altmetric has tracked 11,878,506 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 30th percentile – i.e., 30% 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 305,736 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 59% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.