Evidence map›Paper›PMID 20607589›Full record

ArticleJournal of computer-aided molecular design2010

In silico analysis of the histaprodifen induced activation pathway of the guinea-pig histamine H(1)-receptor.

Andrea Strasser, Hans-Joachim Wittmann

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2010. 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
0.3field-weighted citation impact, top 41% of its field
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, 3 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Andrea StrasserDepartment of Pharmaceutical and Medicinal Chemistry, Faculty of Chemistry and Pharmacy, University of Regensburg, Regensburg, Germany. andrea.strasser@chemie.uni-regensburg.de
Hans-Joachim Wittmann
University of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The binding of (partial) agonists in the binding pocket of biogenic amine receptors induces a conformational change from the inactive to the active state of the receptors. There is only little knowledge about the binding pathways of ligands into binding pocket on molecular level. So far, it was not possible with molecular dynamic simulations to observe the ligand binding and receptor activation. Furthermore, there is nearly nothing known, in which state of ligand binding, the receptor gets activated. The aim of this study was to get more detailed insight into the process of ligand binding and receptor activation. With the recently developed LigPath algorithm, we scanned the potential energy surface of the binding process of dimeric histaprodifen, a partial agonist at the histamine H(1)-receptor, into the guinea pig histamine H(1)-receptor, taking also into account the receptor activation. The calculations exhibited large conformational changes of Trp(6.48) and Phe(6.55) during ligand binding and receptor activation. Additionally, conformational changes were also observed for Phe(6.52), Tyr(6.51) and Phe(6.44). Conformational changes of Trp(6.48) and Phe(6.52) are discussed in literature as rotamer toggle switch in context with receptor activation. Additionally, the calculations indicate that the binding of dimeric histaprodifen, accompanied by receptor activation is energetically preferred. In general, this study gives new, theoretical insights onto ligand binding and receptor activation on molecular level.

Indexed as

Molecular Dynamics SimulationAlgorithmsAnimalsGuinea PigsHistamineMolecular ConformationProtein ConformationReceptors, Histamine H1Signal TransductionSoftwareHistaminehistaprodifenReceptors, Histamine H1

Identifiers

PMID20607589
OpenAlexW2079815999

What OpenQuestion holds

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Registered trials

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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.