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April 27, 2026SAR and QSAR in environmental research

Integrated chemometric modelling of histamine H ₃ receptor for the identification of ligands from a natural product repository

N.S. Jandali L.A. Samuor K. Tawaha M.A. Khanfar

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Key Points

The aim is to utilize integrated chemometric modelling for identifying ligand candidates targeting the histamine H3 receptor from natural products.
Develop a multi-filter pipeline for prioritizing potential ligands.
Utilize a natural product repository for ligand sourcing.
Implement chemometric modelling techniques for analysis.
Identified several promising ligand candidates for experimental validation.
Established a practical framework for hit prioritization.

Implication

Identifies ligand candidates in a natural product repository, suggesting a practical validation approach.

Abstract

R ligand candidates and provide a practical multi-filter pipeline for prioritizing hits for experimental validation.

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Cite This Study

Jandali et al. (2026) studied this question.

synapsesocial.com/papers/69f2f0e31e5f7920c6386e70 https://doi.org/10.1080/1062936x.2026.2651284

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Exploratory scaffold hopping strategies led to identification of novel histamine H3 and H4 receptor ligandsOriginal Research · 2026
2Consensus ensemble learning with augmented molecular representation for accelerated virtual screening of kelulut honey phytochemicals targeting histamine H1 receptorOriginal Research · 2026 · 2 citations
3Computational Identification of GABA-A Receptor Ligands Targeting the Histamine Allosteric PocketOriginal Research · 2026
4Investigation of H1-Histamine Receptor Binding Patterns to Antidepressants and New Allergy Drugs2025
5Structural basis of ligand recognition and design of antihistamines targeting histamine H4 receptor2024 · 14 citations

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