Evidence map›Paper›PMID 39012565›Full record

ArticleMolecular diversity2025

Virtual screening, ADME prediction, drug-likeness, and molecular docking analysis of Fagonia indica chemical constituents against antidiabetic targets.

Rabia Riaz, Shagufta Parveen, Nusrat Shafiq, Awais Ali, Maryam Rashid

Abstract read
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In one paragraph

Article in Molecular diversity, 2025. 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. Article
  2. Article
  3. Article
  4. Article
  5. Differential Evolution for Docking Simulations.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Article
  7. Article
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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

5 authors.

Rabia RiazSynthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Shagufta ParveenSynthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Nusrat ShafiqSynthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan. dr.nusratshafiq@gcwuf.edu.pk.ORCID http://orcid.org/0000-0002-3270-4227
Awais AliDepartment of Biochemistry, Abdul Wali Khan University Mardan, Mardan, 2300, Pakistan.ORCID http://orcid.org/0000-0002-4514-9509
Maryam RashidSynthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.

Funding

Government College Women University for Technical Support TDF03-172
6 · The paper itself

Abstract

Fagonia indica from Zygophyllaceae family is a medicinal specie with significant antidiabetic potential. The present study aimed to investigate the in vitro antidiabetic activity of Fagonia indica crude extract followed by an in silico screening of its phytoconstituents. For this purpose, crude extract of Fagonia indica was prepared and divided in three different parts, i.e., n-hexane, ethyl acetate, and methanolic fraction. Based on in vitro outcomes, the phytochemical substances of Fagonia indica were virtually screened through a literature survey and a screening library of compounds (1-13) was prepared. The clinical potential of these novel drug candidates was assessed by applying an ADME screening profile. Findings of SwissADME indicators (Absorption, Distribution, Metabolism, and Excretion) for the compounds (1-13) presented relatively optimal physicochemical characteristics, drug-likeness, and medicinal chemistry. The antidiabetic action of these leading drug candidates was optimized through molecular docking analysis against 3 different human pancreatic α-amylase macromolecular targets with (PDB ID 1B2Y), (PDB ID 3BAJ), and (PDB ID: 3OLI) by applying Virtual Docker (Molegro MVD). Metformin was taken as a reference standard for the sake of comparison. In vitro antidiabetic evaluation gave good results with promising α-amylase inhibitory action in the form of IC

Indexed as

Hypoglycemic AgentsMolecular Docking SimulationPlant ExtractsZygophyllaceaealpha-AmylasesDrug Evaluation, PreclinicalHumansPhytochemicalsalpha-AmylasesHypoglycemic AgentsPhytochemicalsPlant ExtractsDrug-like candidateHuman pancreaticMetforminSwissADME indicatorsα-amylase

Identifiers

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.