Evidence map›Paper›PMID 41725923›Full record

ArticleBiochemistry research international2026

Ligand-Based Pharmacophore Mapping and Virtual Screening for the Search of Biguanide-Like Molecules With Antidiabetic Potentials Targeting Liver Kinase B1.

Rumman Reza, Md Nazmus Samdani, Niaz Morshed, Raihana Haque Jebin, Imtiaz Ahmed, Md Selim Reza

Abstract read
In one paragraph

Article in Biochemistry research international, 2026. 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Rumman RezaDepartment of Pharmacy, University of Dhaka, Dhaka, Bangladesh, du.ac.bd.ORCID https://orcid.org/0000-0003-4996-1446
Md Nazmus SamdaniDepartment of Pharmacy, University of Dhaka, Dhaka, Bangladesh, du.ac.bd.ORCID https://orcid.org/0000-0002-6913-3018
Niaz MorshedDepartment of Pharmacy, University of Dhaka, Dhaka, Bangladesh, du.ac.bd.ORCID https://orcid.org/0009-0006-2582-6628
Raihana Haque JebinDepartment of Pharmacy, University of Dhaka, Dhaka, Bangladesh, du.ac.bd.ORCID https://orcid.org/0009-0007-6272-6666
Imtiaz AhmedDepartment of Pharmacy, University of Dhaka, Dhaka, Bangladesh, du.ac.bd.ORCID https://orcid.org/0009-0000-1369-3123
Md Selim RezaDepartment of Pharmaceutical Technology, University of Dhaka, Dhaka, Bangladesh, du.ac.bd.ORCID https://orcid.org/0000-0003-0806-2727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a state where the body's glucose metabolism is compromised. AMP-activated protein kinase, or AMPK, has an important part to play in glucose metabolism, and the liver kinase B1 (LKB1) protein functions as a major upstream kinase for AMPK activation, thereby making it appealing therapeutic targets for treating and preventing T2DM. Drug resistance cases for biguanides like metformin is a serious concern and pose great threat to treatment success for diabetic patients. Thus, the hunt for biguanide-like small molecules with enhanced insulin sensitizing potentials is necessary. In the present study, interaction between LKB1 and biguanides such as phenformin, metformin, and buformin has been thoroughly assessed using computational tools. Ligand-based pharmacophore mapping of 29,000 phytochemicals collected from NPASS database was carried out. The screening was conducted to hunt novel antidiabetic compounds targeting LKB1 pathway to improve insulin sensitivity in T2DM. Molecular docking of 31 phytochemicals with good pharmacophore fit scores was then carried out to identify hit compounds. ADMET analysis was also utilized to screen down compounds. dragmacidin D, dioncopeltine A, saussureamine C, and agelastatin D have good binding affinities and acceptable ADMET parameters. Molecular dynamics simulation was carried out to confer the stability of ligand-protein complex under simulated human body conditions. After 100 nanoseconds molecular dynamics simulation, the LKB1 protein complexed with compounds (saussureamine C and agelastatin D) was found to be stable. The results of the current study can be useful in developing antidiabetic medications with enhanced insulin sensitization activates superior to those available in market.

Indexed as

antidiabeticbiguanidesmolecular dockingmolecular dynamics simulationT2DM

Identifiers

PMID41725923
PMCPMC12917864

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.