Evidence map›Paper›PMID 39944121›Full record

ArticleIn silico pharmacology2025

In-silico evaluation of diffractaic acid as novel anti-diabetic inhibitor against dipeptidyl peptidase IV enzyme.

Miah Roney, Abdul Rashid Issahaku, Amit Dubey, Aisha Tufail, S M Istiaque Hamim, Anke Wilhelm, Mohd Fadhlizil Fasihi Mohd Aluwi

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Bioactive Furan Derivatives fromCurrent drug discovery technologies · 2026
    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

7 authors.

Miah RoneyFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuhraya Persiaran Tun Khalil Yaakob, 26300 Gambang, Kuantan, Pahang Malaysia.
Abdul Rashid IssahakuDepartment of Chemistry, University of the Free State, 205 Nelson Mandela Avenue, Bloemfontein, 9301 South Africa.
Amit DubeyCenter for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu India.
Aisha TufailDepartment of Computational Chemistry and Drug Discovery Division, Quanta Calculus, Greater Noida, Uttar Pradesh 201310 India.
S M Istiaque HamimFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuhraya Persiaran Tun Khalil Yaakob, 26300 Gambang, Kuantan, Pahang Malaysia.
Anke WilhelmDepartment of Chemistry, University of the Free State, 205 Nelson Mandela Avenue, Bloemfontein, 9301 South Africa.
Mohd Fadhlizil Fasihi Mohd AluwiFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuhraya Persiaran Tun Khalil Yaakob, 26300 Gambang, Kuantan, Pahang Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is one of the most common long-term metabolic illnesses with detrimental implications on health and 90-95% of DM cases worldwide are caused by type 2 diabetes (T2DM). The side effects of the existing medicines include vomiting, diarrhea, and serious damage to the kidneys, blood vessels, and nerves. Therefore, finding anti-diabetic medications without side effects is crucial. The main goal of this work is to find anti-diabetic inhibitors using in-silico evaluation techniques such as molecular docking, molecular dynamic simulation, principal component analysis, and drug probability analysis. The DPP-IV is one of numerous molecular targets implicated in the pathogenesis of DM and Diffractaic acid (DF) was docked into the active site of this enzyme to assess the inhibitory effect of DF. In addition, MD simulation and PCA were used to assess the stability of docked complex. Furthermore, the DF was then subjected to drug probability investigations. The binding affinity of the DF was - 40.2476 kcal/mol, which was comparable to the reference compound (- 43.0908 kcal/mol). Furthermore, the compound was in a stable structure, as demonstrated by MD simulation and PCA analysis. Based on drug probability tests, DF also demonstrated druggable qualities. The results of this investigation suggest that DF may function as a possible inhibitor against DM; nevertheless, more in vitro and in vivo investigations are required to validate the activity and other properties. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00321-9.

Indexed as

Anti-diabeticDiffractaic acidDockingDPP-IVIn-silicoMD simulation

Identifiers

PMID39944121
PMCPMC11811373

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.