Evidence map›Paper›PMID 39415588›Full record

ArticleCurrent computer-aided drug design2025

Anti-inflammatory Potential of

Aditya Raj, Arghya Chakravorty, Sahil Luktuke, Sourav Santra, Sudip Das, Subhrajeet Sahoo, Karthikeyan Ramesh, Nidha Fathima Ali, Siva Sankar Sana, Sivaraman Jayanthi and 2 more

Abstract read
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Article in Current computer-aided drug design, 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
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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

12 authors.

Aditya RajCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Arghya ChakravortyCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Sahil LuktukeCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Sourav SantraDepartment of Microbiology, Vidyasagar University, Midnapore, 721102, West Bengal, India.
Sudip DasCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Subhrajeet SahooCentre for Life Sciences, Vidyasagar University, Midnapore, 721102, West Bengal, India.
Karthikeyan RameshCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Nidha Fathima AliCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Siva Sankar SanaSchool of Chemical Engineering, Yeungnam University, Gyeongbuk, Gyeongsan-3854, South Korea.
Sivaraman JayanthiDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Arabinda SamantaDepartment of Botany, Jhargram Raj College, Jhargram, West Bengal, 721507, India.
Vimala RaghavanCentre for Nanotechnology Research, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlants represent a rich reservoir of bioactive compounds with established therapeutic value in diverse diseases. Notably, the Toll-like receptor-4 (TLR-4) signaling pathway plays a pivotal role in inflammation. Upon engagement with pro-inflammatory ligands like lipopolysaccharide, TLR-4 triggers downstream cascades involving nuclear factor ĸappa B and mitogen- activated protein kinases. This signaling cascade ultimately dictates the onset and progression of inflammatory diseases. Therefore, targeting TLR-4 signaling offers a promising therapeutic approach for managing inflammatory disorders.

methodsThis study investigated the potential of

resultsThe compounds exhibited binding affinities ranging from -4.087 to -8.93 kcal/mol with the TLR-4 protein due to the formation of multiple intermolecular interactions. Benzenepropanoic acid, 3,5-bis(1,1-dimethylethyl)-4-hydroxy-, methyl ester (compound 7) exhibited exceptional binding energy (-8.93 kcal/mol), indicating strong affinity for the TLR-4 protein. Additionally, compound 7 displayed favorable ADMET properties, suggesting promising drug development potential. Molecular dynamics simulations confirmed the stability of the compound 7-TLR4 complex, further supporting its ability to modulate TLR-4 signaling.

conclusionThese findings highlight the therapeutic potential of

Indexed as

Anti-Inflammatory AgentsPhytochemicalsToll-Like Receptor 4Gas Chromatography-Mass SpectrometryHumansInflammationMolecular Docking SimulationPlant ExtractsRhizomeSignal TransductionAnti-Inflammatory AgentsPhytochemicalsPlant ExtractsToll-Like Receptor 4ADMETAlzheimer's diseaseCostus speciosusGC-MS analysisinflammationmolecular dockingmolecular dynamics simulations.toll-like receptor 4

Identifiers

PMID39415588

What OpenQuestion holds

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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.