Evidence map›Paper›PMID 31354193›Full record

ArticleBioinformation2019

Molecular docking analysis of candidate compoundsderived from medicinal plants with type 2 diabetes mellitus targets.

Pratistha Singh, Vinay Kumar Singh, Anil Kumar Singh

Abstract read
In one paragraph

Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessment of the dual role ofFrontiers in pharmacology · 2023
    Article
  8. Molecular Structure-Based Screening of the Constituents ofCurrent issues in molecular biology · 2022
    Article
  9. Review
  10. Review
  11. Herbal Medicines Targeting the ImprovedEvidence-based complementary and alternative medicine : eCAM · 2021
    Review
  12. Antidiabetic, Antimicrobial, and Molecular Profiling of Selected Medicinal Plants.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  13. Article
  14. 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

3 authors.

Pratistha SinghDepartment of Dravyaguna, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Vinay Kumar SinghCentre for Bioinformatics, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, India.
Anil Kumar SinghDepartment of Dravyaguna, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbal drugs are used for the treatment of diseases and disorders with its less side effects, easy availability and low cost. Several bioactive compounds have been isolated from medicinal plants such as Ficus benghelensis, Ficus racemosa, Ficus religiosa, Thespesia populena and Ficus lacur bouch were taken for screening. This study aimed to evaluate molecular interactions of selected diabetes mellitus (DM) targets with bioactive compounds isolated from Ficus benghelensis, Ficus racemosa, Ficus religiosa, Thespesia populena and Ficus lacur bouch. In this article, screening of the best substances as bioactive compounds is achieved by molecular docking analysis with 3 best selected DM target proteins i.e., aldose reductase (AR), Insulin Receptor (IR) and Mono-ADP ribosyltransferase-sirtuin-6 (SIRT6). In this analysis six potential bioactive compounds (gossypetin, herbacetin, kaempferol, leucoperalgonidin, leucodelphinidin and sorbifolin) were successfully identified on the basis of binding energy (>8.0 kcal/mol) and dissociation constant using YASARA. Out of six compounds, herbacetin and sorbifolin were observed as most suitable ligands for management of diabetes mellitus.

Indexed as

aldose reductaseDiabetes mellitusin silico dockinginsulin receptormedicinal plantsSIRT-6

Identifiers

PMID31354193
PMCPMC6637395

What Socratic holds

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LicenceCC BY
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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 Socratic graph.