ArticleJournal of molecular modeling2010
In silico binding characteristics between human histamine H1 receptor and antagonists.
Article in Journal of molecular modeling, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 5 citations in OpenAlex.
- Computational Analysis of Structure-Based Interactions for Novel H₁-Antihistamines.International journal of molecular sciences · 2016Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is widely acknowledged that the H(1) receptor antagonists have important therapeutic significance in the treatment of various allergic disorders, but little was known about the binding mode between the receptor and antagonists since the crystal structure of G-protein coupling receptors (GPCRs) were hard to obtain. In this paper, a theoretical three-dimensional model of human histamine H(1) receptor (HHR1) was developed on the basis of recently reported high resolution structures of human A(2A) adenosine receptor, human beta(2)-adrenoceptor and turkey beta(1)-adrenoceptor. Furthermore, three representative H(1) receptor antagonists were chosen for docking studies. Subsequently, a qualitative pharmacophore model was developed by Hiphop algorithm based on the docking conformations of these three antagonists. In this paper, active environment, certain key residues, and the corresponding pharmacophore features of H(1) receptor were identified by such combinations of receptor-based and ligand-based approaches, which would give sufficient guidance for the rational design of novel antihistamine agents.
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Registered trials
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