Evidence map›Paper›PMID 39836299›Full record

ArticleApplied biochemistry and biotechnology2025

Adenocarpine, Marmesin, and Lycocernuine from Ficus benjamina as Promising Inhibitors of Aldose Reductase in Diabetes: A Bioinformatics-Guided Approach.

M Oliur Rahman, Sheikh Sunzid Ahmed, Ali S Alqahtani, Kaiser Hamid, Maria Sultana, Mohammad Ajmal Ali

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 2025. 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

6 authors.

M Oliur RahmanDepartment of Botany, Faculty of Biological Sciences, University of Dhaka, Dhaka, 1000, Bangladesh. oliur.bot@du.ac.bd.ORCID http://orcid.org/0000-0001-5289-7612
Sheikh Sunzid AhmedDepartment of Botany, Faculty of Biological Sciences, University of Dhaka, Dhaka, 1000, Bangladesh.
Ali S AlqahtaniDepartment of Pharmacognosy, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh, 11451, Saudi Arabia.
Kaiser HamidSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, New South Wales, Australia.
Maria SultanaDepartment of Botany, Faculty of Biological Sciences, University of Dhaka, Dhaka, 1000, Bangladesh.
Mohammad Ajmal AliDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.

Funding

King Saud University RSP2024R132University Grants Commission of Bangladesh UGC-37.01.0000.073.04.082.23.2739
6 · The paper itself

Abstract

Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications. The high cost, severe side effects, and rising drug resistance in traditional diabetes treatments underscore the urgent need for novel AR-targeting antidiabetic agents. Ficus benjamina used in traditional medicine demonstrates promising potential for diabetes management. This study investigated the antidiabetic potential of F. benjamina phytocompounds targeting AR receptor employing a structure-based drug design approach to identify potential antidiabetic drug agents. Using molecular docking, ADMET analysis, molecular dynamics (MD) simulation, MM/GBSA, MM/PBSA, and DFT calculations, we identified three promising lead compounds: adenocarpine (- 9.2 kcal/mol), marmesin (- 8.8 kcal/mol), and lycocernuine (- 8.4 kcal/mol). These compounds presented favorable pharmacokinetic, pharmacodynamic, and toxicity profiles, with a 500-ns MD simulation confirming their stability, supported by PCA and Gibbs FEL analysis. MM/GBSA study identified adenocarpine (- 72.53 kcal/mol) as the best compound, outperforming marmesin (- 70 kcal/mol) and lycocernuine (- 61.95 kcal/mol). DFT analysis revealed that adenocarpine exhibited the highest molecular reactivity (3.914 eV), while lycocernuine demonstrated the greatest kinetic stability (6.377 eV). Marmesin and lycocernuine showed increased reactivity upon transitioning from the free states (4.441 eV and 6.377 eV, respectively) to the bound states (4.359 eV and 6.231 eV, respectively). These results could lead to the development of adenocarpine, marmesin, and lycocernuine as novel drug candidates for diabetes, warranting further in vitro and in vivo validation.

Indexed as

Aldehyde ReductaseComputational BiologyDiabetes MellitusEnzyme InhibitorsFicusHypoglycemic AgentsAnimalsHumansMolecular Docking SimulationMolecular Dynamics SimulationAldehyde ReductaseEnzyme InhibitorsHypoglycemic AgentsAldose reductaseDensity functional theoryDiabetesFicus benjaminaMolecular dockingMolecular dynamics simulation

Identifiers

What OpenQuestion 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 OpenQuestion graph.