Evidence map›Paper›PMID 42682727›Full record

ArticleFrontiers in bioinformatics2026

Integrative network pharmacology and molecular modeling approaches reveal the therapeutic potential of

Arun Kandhan, Bijo Mathew, Sundarrajan Thirugnanasambandam

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Arun KandhanDepartment of Pharmaceutical Chemistry, SRM College of Pharmacy, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India.
Bijo MathewDepartment of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, India.
Sundarrajan ThirugnanasambandamDepartment of Pharmaceutical Chemistry, SRM College of Pharmacy, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetes retinopathy (DR) is a progressive microvascular complication of diabetes mellitus characterized by oxidative stress, inflammation, and neurovascular dysfunction. Current therapies provide limited efficacy, highlighting the need for multi-targeted, natural therapeutic alternatives. Methodology: A data-driven systems pharmacology approach was employed to explore the anti-DR potential of Results and Discussion: Docking studies identified Pinocembrin (SS5) and Stercurensin (SS4) as top-ranked ligands, with strong binding affinities toward SRC and ALB, respectively. MD simulations demonstrated superior structural stability for the SS5-SRC complex, whereas SS4-ALB exhibited moderate stability. MM-GBSA calculations further confirmed favorable binding energies, supporting their drug-like behavior. These multi-target interactions suggest that Conclusion:

Indexed as

diabetic retinopathyMMGBSAmolecular dockingmolecular dynamicsmolecular modellingnetwork pharmacologySyzygium samarangense

Identifiers

PMID42682727
PMCPMC13529976

What Socratic holds

Textmetadata
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 Socratic graph.