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Adaptive evolution and elucidating the potential inhibitor against schizophrenia to target DAOA (G72) isoforms

Overview of attention for article published in Drug Design, Development and Therapy, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
3 tweeters
googleplus
1 Google+ user

Citations

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14 Dimensions

Readers on

mendeley
20 Mendeley
Title
Adaptive evolution and elucidating the potential inhibitor against schizophrenia to target DAOA (G72) isoforms
Published in
Drug Design, Development and Therapy, July 2015
DOI 10.2147/dddt.s63946
Pubmed ID
Authors

Asif Mir, Sheikh Sehgal, Shazia Mannan, Sumaira Kanwal, Ishrat Naveed

Abstract

Schizophrenia (SZ), a chronic mental and heritable disorder characterized by neurophysiological impairment and neuropsychological abnormalities, is strongly associated with D-amino acid oxidase activator (DAOA, G72). Research studies emphasized that overexpression of DAOA may be responsible for improper functioning of neurotransmitters, resulting in neurological disorders like SZ. In the present study, a hybrid approach of comparative modeling and molecular docking followed by inhibitor identification and structure modeling was employed. Screening was performed by two-dimensional similarity search against selected inhibitor, keeping in view the physiochemical properties of the inhibitor. Here, we report an inhibitor compound which showed maximum binding affinity against four selected isoforms of DAOA. Docking studies revealed that Glu-53, Thr-54, Lys-58, Val-85, Ser-86, Tyr-87, Leu-88, Glu-90, Leu-95, Val-98, Ser-100, Glu-112, Tyr-116, Lys-120, Asp-121, and Arg-122 are critical residues for receptor-ligand interaction. The C-terminal of selected isoforms is conserved, and binding was observed on the conserved region of isoforms. We propose that selected inhibitor might be more potent on the basis of binding energy values. Further analysis of this inhibitor through site-directed mutagenesis could be helpful for exploring the details of ligand-binding pockets. Overall, the findings of this study may be helpful in designing novel therapeutic targets to cure SZ.

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 35%
Student > Master 3 15%
Unspecified 2 10%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 5 25%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Psychology 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Unspecified 2 10%
Neuroscience 2 10%
Other 1 5%
Unknown 5 25%

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 08 April 2016.
All research outputs
#3,330,511
of 7,520,778 outputs
Outputs from Drug Design, Development and Therapy
#233
of 967 outputs
Outputs of similar age
#93,038
of 225,004 outputs
Outputs of similar age from Drug Design, Development and Therapy
#30
of 167 outputs
Altmetric has tracked 7,520,778 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 73% 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 225,004 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 56% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.