Evidence map›Paper›PMID 41782002›Full record

ArticleBMC pharmacology & toxicology2026

Discovery of compound candidates for the treatment of allergic diseases: integration of DFT analyses, molecular docking, molecular dynamics simulations, and ADMET profiling.

Velid Unsal, Erkan Oner, Reşit Yıldız, Supriyo Saha, Başak Doğru Mert, Mehmet Emrah Aksan, Abdulkerim Hatipoğlu

Abstract read
In one paragraph

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

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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.

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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.

Velid UnsalDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Mardin Artuklu University, Mardin, Türkiye. velidunsal@artuklu.edu.tr.ORCID https://orcid.org/0000-0003-1415-0563
Erkan OnerDepartment of Biochemistry, Faculty of Pharmacy, Adıyaman University, Adıyaman, 02000, Türkiye.
Reşit YıldızDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Mardin Artuklu University, Mardin, Türkiye.
Supriyo SahaDepartment of Pharmaceutical Chemistry, Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, Uttarakhand, 248007, India.
Başak Doğru MertEnergy Systems Engineering Department, Engineering Faculty, Adana Alparslan Türkeş Science and Technology University, Adana, 01250, Türkiye.
Mehmet Emrah AksanDepartment of Medical Biochemistry, Institute of Health Sciences, Gaziantep University, Gaziantep, 27310, Türkiye.
Abdulkerim HatipoğluDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Mardin Artuklu University, Mardin, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a combination of computational analyses (drug similarity, physicochemical properties, pharmacokinetic properties, molecular docking, molecular dynamics simulation, principal component analysis (PCA), free energy landscape (FEL), density functional theory (DFT), and absorption, distribution, metabolism, and excretion (ADMET) analysis) was used to evaluate the efficacy of natural compounds (aloe emodin, fisetin, vitamin D3, β-carotene, berberine, and cinnamic acid) against allergic diseases and compare them with pharmaceuticals such as cetirizine and mizolastine. Elementary molecular structures and electronic properties were determined through DFT calculations accounting for reactivity by natural bond orbital (NBO) and nonlinear optical properties (NLO) analyses. Molecular docking studies were performed on critical proteins interleukin-10 (IL-10), filaggrin, thymic stromal lymphopoietin (TSLP), and high-affinity Fc receptor for immunoglobulin E (FcεRI) to elucidate the energetics of binding and to reveal interaction mechanisms facilitated by hydrophobic and hydrogen bonds. Highlighted in molecular docking, molecular dynamics (MD) simulation analysis of beta carotene and mizolastine was performed for IL-10, TSLP, FcεRI, and filaggrin, respectively. MD simulation revealed that the beta carotene-IL-10 complex exhibited higher structural stability. MD simulation showed that both filaggrin apoprotein and the mizolastine-filaggrin complex maintained their structural stability with consistent root mean square standard deviation, root mean square fluctuation, radius of gyration, and solvent accessible surface area (SASA) values. MD simulation revealed that both TSLP apoprotein and the beta carotene-TSLP complex maintained their stable conformations. MD simulation showed that both the FcεRI apoprotein and the beta carotene-FcεRI complex achieved stable structures with consistent radius of gyration and SASA values. PCA and FEL analyses revealed ligand-induced conformational variability. Although some physicochemical properties require further development, β-carotene, exhibiting very strong protein binding, and vitamin D3, particularly displaying good integration, superior drug-like properties, low toxicity, and good binding affinity, have been identified as promising candidates for the treatment of allergic diseases. This comprehensive approach combines structural chemistry, energetics, and drug discovery to create a powerful model for the rational design of allergy medications.

Indexed as

Anti-Allergic AgentsHypersensitivityCytokinesDensity Functional TheoryDrug DiscoveryHumansMolecular Docking SimulationMolecular Dynamics SimulationReceptors, IgEAnti-Allergic AgentsCytokinesReceptors, IgEADMETAllergic diseasesDFTMolecular dockingMolecular dynamics simulationVitamin D3

Identifiers

PMID41782002
PMCPMC13169645

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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.