Evidence map›Paper›PMID 31482084›Full record

ArticleFrontiers in chemistry2019

Quantitative Structure Activity Relationship Studies and Molecular Dynamics Simulations of 2-(Aryloxyacetyl)cyclohexane-1,3-Diones Derivatives as 4-Hydroxyphenylpyruvate Dioxygenase Inhibitors.

Ying Fu, Yong-Xuan Liu, Ke-Han Yi, Ming-Qiang Li, Jia-Zhong Li, Fei Ye

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ying FuDepartment of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin, China.
Yong-Xuan LiuDepartment of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin, China.
Ke-Han YiDepartment of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin, China.
Ming-Qiang LiDepartment of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin, China.
Jia-Zhong LiSchool of Pharmacy, Lanzhou University, Lanzhou, China.
Fei YeDepartment of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

4-Hydroxyphenylpyruvate dioxygenase (HPPD) is a significant enzyme in the biosynthesis of plastoquinone and tocopherol. Moreover, it is also a potential target to develop new herbicide. The technology of computer-aided drug design (CADD) is a useful tool in the efficient discovery of new HPPD inhibitors. Forty-three compounds with known activities were used to generate comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) models based on common framework and molecular docking. The structural contribution to the activity was determined, which provided further information for the design of novel inhibitors. Molecular docking was used to explain the changes in activity caused by the binding mode between ligand and protein. The molecular dynamics (MD) results indicated that the electrostatic energy was the major driving force for ligand-protein interaction and the Phe403 made the greatest contribution to the binding. The present work has provided useful information for the rational design of novel HPPD inhibitors with improved activity.

Indexed as

4-hydroxyphenylpyruvate dioxygenase inhibitorsmolecular dockingmolecular dynamicsmolecular mechanics Poisson–Boltzmann surface areathree-dimensional quantitative structure activity relationship

Identifiers

PMID31482084
PMCPMC6710436

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.