ArticleBMC chemistry2025
Comparison of new secondgeneration H1 receptor blockers with some molecules; a study involving DFT, molecular docking, ADMET, biological target and activity.
Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Integrated Phytochemical and Pharmacological Insights intoPlants (Basel, Switzerland) · 2026Review
- Efficacy of Montelukast-Antihistamine Combination Therapy Versus Antihistamine Monotherapy in Allergic Rhinitis: A Systematic Review and Meta-Analysis.Clinical and experimental otorhinolaryngology · 2026Article
- Discovery of compound candidates for the treatment of allergic diseases: integration of DFT analyses, molecular docking, molecular dynamics simulations, and ADMET profiling.BMC pharmacology & toxicology · 2026Article
- Integrated Molecular Docking and Dynamic Simulations Reveal Glycyrrhizic Acid Alleviates Allergic Rhinitis in Rats by Inhibiting the TLR4/NF-κB/IL-1β Pathway.Journal of immunology research · 2026Article
- Determination of bioactive and anti-inflammatory molecules of Thymbra spicata L. from Mardin by GC-MS and LC-Orbitrap HRMS: a DFT, molecular docking, ADMET, biological target and activity study.BMC complementary medicine and therapies · 2025Article
- Chemical evaluation of arbequina extra virgin olive oil with in silico analysis of its key phenolic compounds targeting LDL metabolism.Scientific reports · 2025Article
- Evaluation ofFood science & nutrition · 2025Article
- Article
- Metabolomic profiling, in-vitro and in-silico analysis of Ayurvedic formulation Madhumehantak Churna, identifies Ptelatoside A as a potent anti-diabetic biomolecule.In silico pharmacology · 2025Article
- Unravelling the Intricate Link: Mast Cells and Estrogen-Induced Pain Sensitization in Endometriosis.International journal of biological sciences · 2025Review
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Abstract
Although the antiallergic properties of compounds such as CAPE, Melatonin, Curcumin, and Vitamin C have been poorly discussed by experimental studies, the antiallergic properties of these famous molecules have never been discussed with calculations. The histamine-1 receptor (H1R) belongs to the family of rhodopsin-like G-protein-coupled receptors expressed in cells that mediate allergies and other pathophysiological diseases. In this study, pharmacological activities of FDA-approved second generation H1 antihistamines (Levocetirizine, desloratadine and fexofenadine) and molecules such as CAPE, Melatonin, Curcumin, Vitamin C, ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiles, density functional theory (DFT), molecular docking, biological targets and activities were compared by calculating. Since drug development is an extremely risky, costly and time-consuming process, the data obtained in this study will facilitate and guide future studies. It will also enable researchers to focus on the most promising compounds, providing an effective design strategy. Their pharmacological activity was carried out using computer-based computational techniques including DFT, molecular docking, ADMET analysis, biological targeting, and activity methods. The best binding sites of Desloratadine, Levocetirizine, Fexofenadine, CAPE, Quercetin, Melatonin, curcumin, Vitamin C ligands to Desmoglein 1, Human Histamine H1 receptor, IgE and IL13 protons were determined by molecular docking method and binding energy and interaction states were analyzed. Fexofenadine and Quercetin ligand showed the most effective binding affinity. Melatonin had the best Caco-2 permeability PPB values of Quercetin, CAPE and Curcumin were at optimal levels. On the OATP1B1 and OATP1B3 of curcumin and CAPE, Quercetin was found to have strong inhibition effects on BCRP. Melatonin and CAPE were found to have the highest inhibition values on CYP1A2, while CAPE had the highest inhibition values on CYP2C19 and CYP2C9. Vitamin C and Quercetin were found to be safer in terms of cardiac toxicity and mutagenic risks, while Desloratadine and Levocetirizine carried high risks of neurotoxicity and hematotoxicity, while CAPE was noted for its high enzyme inhibitory activities and low toxicity profiles, while the hERG blockade, DILI, and cytotoxicity values of other compounds pointed to various safety concerns. This study demonstrated the potential of machine learning methods in understanding and discovering H1 receptor blockers. The results obtained provide important clues in the development of important strategies in the clinical use of H1 receptor blockers. In the light of these data, CAPE and Quercetin are remarkable molecules.
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