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In –silico molecular docking analysis of prodigiosin and cycloprodigiosin as COX-2 inhibitors

Overview of attention for article published in SpringerPlus, April 2013
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Title
In –silico molecular docking analysis of prodigiosin and cycloprodigiosin as COX-2 inhibitors
Published in
SpringerPlus, April 2013
DOI 10.1186/2193-1801-2-172
Pubmed ID
Authors

Pabba Shiva Krishna, Kompally Vani, Metuku Ram Prasad, Burra Samatha, Nidadavolu Shesha Venkata Sathya Siva Surya Laxmi Hima Bindu, Maringanti Alaha Singara Charya, Prakasham Reddy Shetty

Abstract

Prodigiosin and cycloprodigiosin are tripyrrole red pigmented compounds with medical importance for their anticancer property. In the present investigation, molecular docking studies were performed for both prodigiosin and cycloprodigiosins to evaluate the in- silico anti-inflammatory activity against Cycloxigenase-2 (COX-2) protein as model compound and the data compared with rofecoxib and celcoxid. Cycloprodigiosin showed higher initial potential, initial RMS gradient and potential energy values compared to prodigiosin. Analysis of COX-2 protein and ligand binding revealed that cyclprodigiosin interacted with COX-2 protein amino acid residues of Tyr(324), Phe(487) and Arg(89) while prodigiosin interaction was observed with two amino acids i.e. Leu(321) and Tyr(324). The computational ligand binding interaction suggested > 45% higher fitness score value for prodigiosin to that of cycloprodigiosin with COX-2 protein while the standard compounds rofecoxib and celecoxid revealed fitness score of 44 and 62, respectively. The prodigiosin ligand revealed the best fitness score compared with the standard drug rofecoxib suggesting the prodigiosin could be effective as the potential inhibitor compound against COX-2 protein and can be evaluated as anti-inflammatory drug molecule using clinical trials.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Iran, Islamic Republic of 1 <1%
India 1 <1%
Unknown 118 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Student > Master 15 12%
Student > Bachelor 13 11%
Student > Doctoral Student 9 7%
Researcher 9 7%
Other 22 18%
Unknown 36 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 17%
Biochemistry, Genetics and Molecular Biology 15 12%
Chemistry 14 12%
Pharmacology, Toxicology and Pharmaceutical Science 8 7%
Immunology and Microbiology 4 3%
Other 14 12%
Unknown 45 37%
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 19 April 2013.
All research outputs
#20,190,878
of 22,707,247 outputs
Outputs from SpringerPlus
#1,461
of 1,852 outputs
Outputs of similar age
#172,288
of 197,527 outputs
Outputs of similar age from SpringerPlus
#71
of 131 outputs
Altmetric has tracked 22,707,247 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 1,852 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 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 131 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.