Evidence map›Paper›PMID 35574607›Full record

ArticleInternational journal of immunopathology and pharmacology

Exploring the antihyperglycemic potential of tetrapeptides devised from AdMc1

Ghulam Mustafa, Hafiza S Mahrosh, Muddassar Zafar, Syed A Attique, Rawaba Arif

Open access · goldAbstract read
In one paragraph

Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. BioMed research international · 2023
    Article
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

5 authors at 4 institutions in 1 country.

Ghulam MustafaDepartment of Biochemistry, 72594Government College University, Faisalabad, Pakistan.ORCID https://orcid.org/0000-0001-6510-6496
Hafiza S MahroshDepartment of Biochemistry, 66724University of Agriculture Faisalabad, Faisalabad, Pakistan.
Muddassar ZafarDepartment of Biochemistry and Biotechnology, 128417University of Gujrat, Hafiz Hayat Campus, Gujrat, Pakistan.
Syed A AttiqueSchool of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan.
Rawaba ArifDepartment of Biochemistry, University of Jhang, Jhang, Pakistan.
Government College University, Faisalabad · PKNational University of Sciences and Technology · PKUniversity of Faisalabad · PKUniversity of Gujrat · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes mellitus is a heterogenous group of chronic metabolic disorders that results due to deficiency in insulin secretion and signalling. Multiple factors held responsible for onset of diabetes due to defects in glucose metabolism and cellular signalling mechanism. Over the past few years, many plant derived bioactive compounds have been recorded with increased efficacy and fewer side-effects against variety of diseases.

methodsIn the current study, molecular docking and molecular dynamics simulation approaches were employed to evaluate the tetrapeptides devised from AdMc1 protein of

resultsTop five ligands were selected against each receptor protein based on their binding pattern and docking scores. Among selected ligands (i.e. VEID, TVEV, AYAY, EEIA, ITTV, TTIT, LPSM, RGIE, TTVE and EIAR) followed all parameters in drug scanning and ADMET screening tests. The MD simulations confirmed that the best selected peptide (i.e. VEID) docked with AR and PTP1B was structurally stable.

conclusionIn the light of overall results of all analyses employed in this study, the selected ligands could be further processed as potential hypoglycaemic drug candidates.

Indexed as

Diabetes MellitusHypoglycemic AgentsHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationPeptidesHypoglycemic AgentsLigandsPeptidesADMETLipinski’s rule of fivemolecular dockingmolecular dynamics simulationMomordica charantia

Identifiers

PMID35574607
PMCPMC9112693
OpenAlexW4280578927

What OpenQuestion holds

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LicenceCC BY-NC
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.