Evidence map›Paper›PMID 31394858›Full record

ArticleMolecules (Basel, Switzerland)2019

Discovery of Novel DPP-IV Inhibitors as Potential Candidates for the Treatment of Type 2

Azizullo Musoev, Sodik Numonov, Zhuhong You, Hongwei Gao

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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.

  1. Review
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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

4 authors.

Azizullo MusoevKey Laboratory of Plant Resources and Chemistry in Arid Regions, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Sodik NumonovKey Laboratory of Plant Resources and Chemistry in Arid Regions, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Zhuhong YouKey Laboratory of Plant Resources and Chemistry in Arid Regions, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Hongwei GaoSchool of Life Science, Ludong University, Yantai 264025, China. gaohongw369@ms.xjb.ac.cn.

Funding

High-end Talent Team Construction Foundation Grant No. 108-10000318Science and Technology Commission Foundation of Tianjin No. 15JCZDJC40800
6 · The paper itself

Abstract

Dipeptidyl peptidase-IV (DPP-IV) rapidly breaks down the incretin hormones glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic peptide (GIP). Thus, the use of DPP-IV inhibitors to retard the degradation of endogenous GLP-1 is a possible mode of therapy correcting the defect in incretin-related physiology. The aim of this study is to find a new small molecule and explore the inhibition activity to the DPP-IV enzyme using a computer aided simulation. In this study, the predicted compounds were suggested as potent anti-diabetic candidates. Chosen structures were applied following computational strategies: The generation of the three-dimensional quantitative structure-activity relationship (3D QSAR) pharmacophore models, virtual screening, molecular docking, and

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationAnimalsBinding SitesDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsHumansHypoglycemic AgentsModels, MolecularMolecular StructureProtein BindingQuantitative Structure-Activity RelationshipDipeptidyl-Peptidase IV InhibitorsHypoglycemic Agentscross-dockingdockingDPP-IVinhibitorspharmacophore modelsT2DM

Identifiers

PMID31394858
PMCPMC6720998

What OpenQuestion holds

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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.