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Combination of Virtual Screening Protocol by in Silico toward the Discovery of Novel 4-Hydroxyphenylpyruvate Dioxygenase Inhibitors

Overview of attention for article published in Frontiers in Chemistry, February 2018
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Title
Combination of Virtual Screening Protocol by in Silico toward the Discovery of Novel 4-Hydroxyphenylpyruvate Dioxygenase Inhibitors
Published in
Frontiers in Chemistry, February 2018
DOI 10.3389/fchem.2018.00014
Pubmed ID
Authors

Ying Fu, Yi-Na Sun, Ke-Han Yi, Ming-Qiang Li, Hai-Feng Cao, Jia-Zhong Li, Fei Ye

Abstract

4-Hydroxyphenylpyruvate dioxygenase (EC 1.13.11.27, HPPD) is a potent new bleaching herbicide target. Therefore,in silicostructure-based virtual screening was performed in order to speed up the identification of promising HPPD inhibitors. In this study, an integrated virtual screening protocol by combining 3D-pharmacophore model, molecular docking and molecular dynamics (MD) simulation was established to find novel HPPD inhibitors from four commercial databases. 3D-pharmacophore Hypo1 model was applied to efficiently narrow potential hits. The hit compounds were subsequently submitted to molecular docking studies, showing four compounds as potent inhibitor with the mechanism of the Fe(II) coordination and interaction with Phe360, Phe403, and Phe398. MD result demonstrated that nonpolar term of compound 3881 made great contributions to binding affinities. It showed an IC50being 2.49 μM againstAtHPPDin vitro. The results provided useful information for developing novel HPPD inhibitors, leading to further understanding of the interaction mechanism of HPPD inhibitors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Bachelor 4 9%
Student > Master 4 9%
Lecturer 3 6%
Professor 3 6%
Other 7 15%
Unknown 19 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 17%
Chemistry 8 17%
Agricultural and Biological Sciences 4 9%
Engineering 4 9%
Computer Science 2 4%
Other 1 2%
Unknown 20 43%
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 06 February 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from Frontiers in Chemistry
#2,936
of 6,010 outputs
Outputs of similar age
#375,398
of 437,329 outputs
Outputs of similar age from Frontiers in Chemistry
#43
of 79 outputs
Altmetric has tracked 23,020,670 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 6,010 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% 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 437,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 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.