Evidence map›Paper›PMID 31768442›Full record

ArticleHeliyon2019

Theoretical QSAR modelling and molecular docking studies of some 4-hydroxyphenylpyruvate dioxygenase (HPPD) enzyme inhibitors potentially used as herbicides.

Saidu Tukur, Gideon Adamu Shallangwa, Abdulkadir Ibrahim

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Saidu TukurFaculty of Physical Sciences, Chemistry Department, Ahmadu Bello University, P.M.B. 1044, Zaria, Kaduna State, Nigeria.
Gideon Adamu ShallangwaFaculty of Physical Sciences, Chemistry Department, Ahmadu Bello University, P.M.B. 1044, Zaria, Kaduna State, Nigeria.
Abdulkadir IbrahimFaculty of Physical Sciences, Chemistry Department, Ahmadu Bello University, P.M.B. 1044, Zaria, Kaduna State, Nigeria.
Ahmadu Bello University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational QSAR studies together with molecular docking calculations have been performed on 118 different derivatives of organic molecules potentially used as herbicides. The Becke's three parameter exchange functional (B3) hybrid with Lee, Yang and Parr correlation functional (LYP), termed as B3LYP hybrid function and 6-31G* basis set (B3LYP/6-31G*) were used to develop five models of QSAR using the GFA technique. Models 1, was preferred as the best model because it possesses certain statistical implications (Friedman LOF = 0.52567,

Indexed as

Applicability domainBinding affinity(BA)Genetic function algorithm (GFA)HerbicideInorganic chemistryMolecular dockingMultiple linear regression (MLR)Quantitative structure-activity relationship (QSAR)

Identifiers

PMID31768442
PMCPMC6872840
OpenAlexW2989964741

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.