Evidence map›Paper›PMID 26572911›Full record

ArticleJournal of computer-aided molecular design2015

Dynamics and structural determinants of ligand recognition of the 5-HT6 receptor.

Márton Vass, Balázs Jójárt, Ferenc Bogár, Gábor Paragi, György M Keserű, Ákos Tarcsay

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Article in Journal of computer-aided molecular design, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 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

6 authors.

Márton VassDiscovery Chemistry, Gedeon Richter Plc., Gyömrői út 19-21, Budapest, 1103, Hungary.
Balázs JójártDepartment of Chemical Informatics, Faculty of Education, University of Szeged, Boldogasszony sgt. 6, Szeged, 6725, Hungary.
Ferenc BogárMTA SZTE Supramolecular and Nanostructured Materials Research Group, Hungarian Academy of Sciences, University of Szeged, Dóm tér 8, Szeged, 6720, Hungary.
Gábor ParagiMTA SZTE Supramolecular and Nanostructured Materials Research Group, Hungarian Academy of Sciences, University of Szeged, Dóm tér 8, Szeged, 6720, Hungary.
György M KeserűResearch Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok körútja 2, Budapest, 1117, Hungary.
Ákos TarcsayDiscovery Chemistry, Gedeon Richter Plc., Gyömrői út 19-21, Budapest, 1103, Hungary. akos.tarcsay@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to identify molecular models of the human 5-HT6 receptor suitable for virtual screening, homology modeling and membrane-embedded molecular dynamics simulations were performed. Structural requirements for robust enrichment were assessed by an unbiased chemometric analysis of enrichments from retrospective virtual screening studies. The two main structural features affecting enrichment are the outward movement of the second extracellular loop and the formation of a hydrophobic cavity deep in the binding site. These features appear transiently in the trajectories and furthermore the stretches of uniformly high enrichment may only last 4-10 ps. The formation of the inner hydrophobic cavity was also linked to the active-like to inactive-like transition of the receptor, especially the so-called connector region. The best structural models provided significant and robust enrichment over three independent ligand sets.

Indexed as

Drug DesignBinding SitesComputer-Aided DesignHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein ConformationReceptors, SerotoninLigandsReceptors, Serotoninserotonin 6 receptor5-HT6 receptorDockingEnrichmentMolecular dynamicsVirtual screening

Identifiers

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Registered trials

None linked

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.