Evidence map›Paper›PMID 21360181›Full record

ArticleJournal of molecular modeling2011

Integrative computational protocol for the discovery of inhibitors of the Helicobacter pylori nickel response regulator (NikR).

Aldo Segura-Cabrera, Xianwu Guo, Arturo Rojo-Domínguez, Mario A Rodríguez-Pérez

Abstract read
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Article in Journal of molecular modeling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Contact-based ligand-clustering approach for the identification of active compounds in virtual screening.Advances and applications in bioinformatics and chemistry : AABC · 2012
    Article
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

4 authors.

Aldo Segura-CabreraLaboratorio de Bioinformática, Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Boulevard del Maestro esquina Elías Piña, Colonia Narciso Mendoza, 88710 Ciudad Reynosa, Tamaulipas, Mexico. asegurac@ipn.mx
Xianwu Guo
Arturo Rojo-Domínguez
Mario A Rodríguez-Pérez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to identify novel inhibitors of the Helicobacter pylori nickel response regulator (HpNikR) an integrative protocol was performed for half a million compounds retrieved from the ZINC database. We firstly implement a structure-based virtual screening to build a library of potential inhibitors against the HpNikR using a docking analysis (AutoDock Vina). The library was then used to perform a hierarchical clustering of docking poses, based on protein-contact footprints calculation from the multiple conformations given by the AutoDock Vina software, and the drug-protein interaction analyses to identify and remove potential promiscuous compounds likely interacting with human proteins, hence causing drug side effects. 250 drug-like compounds were finally proposed as non-promicuous potential inhibitors for HpNikR. These compounds target the DNA-binding sites of HpNikR so that HpNikR-compound binding could be able to mimic key interactions in the DNA-protein recognition process. HpNikR inhibitors with promising potential against H. pylori could also act against other human bacterial pathogens due to the conservation of targeting motif of NikR involved in DNA-protein interaction.

Indexed as

Computer SimulationAmino Acid MotifsBacterial ProteinsBinding SitesDatabases, FactualDNA, BacterialDNA-Binding ProteinsDrug DiscoveryHelicobacter InfectionsHelicobacter pyloriHumansModels, MolecularMolecular Sequence DataNickelProtein BindingProtein Structure, TertiaryBacterial ProteinsDNA, BacterialDNA-Binding ProteinsNickelNikR protein, Helicobacter pyloriRepressor ProteinsRhodaminesSmall Molecule Libraries

Identifiers

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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.