Evidence map›Paper›PMID 21390216›Full record

ArticlePloS one2011

Identification of human IKK-2 inhibitors of natural origin (part I): modeling of the IKK-2 kinase domain, virtual screening and activity assays.

Esther Sala, Laura Guasch, Justyna Iwaszkiewicz, Miquel Mulero, Maria-Josepa Salvadó, Montserrat Pinent, Vincent Zoete, Aurélien Grosdidier, Santiago Garcia-Vallvé, Olivier Michielin and 1 more

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Functional network analysis reveals potential repurposing of β-blocker atenolol for pancreatic cancer therapy.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2020
    Article
  4. The Light and Dark Sides of Virtual Screening: What Is There to Know?International journal of molecular sciences · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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

11 authors.

Esther SalaGrup de Recerca en Nutrigenòmica, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Campus de Sescelades, Tarragona, Catalonia, Spain.
Laura Guasch
Justyna Iwaszkiewicz
Miquel Mulero
Maria-Josepa Salvadó
Montserrat Pinent
Vincent Zoete
Aurélien Grosdidier
Santiago Garcia-Vallvé
Olivier Michielin
Gerard Pujadas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTheir large scaffold diversity and properties, such as structural complexity and drug similarity, form the basis of claims that natural products are ideal starting points for drug design and development. Consequently, there has been great interest in determining whether such molecules show biological activity toward protein targets of pharmacological relevance. One target of particular interest is hIKK-2, a serine-threonine protein kinase belonging to the IKK complex that is the primary component responsible for activating NF-κB in response to various inflammatory stimuli. Indeed, this has led to the development of synthetic ATP-competitive inhibitors for hIKK-2. Therefore, the main goals of this study were (a) to use virtual screening to identify potential hIKK-2 inhibitors of natural origin that compete with ATP and (b) to evaluate the reliability of our virtual-screening protocol by experimentally testing the in vitro activity of selected natural-product hits. METHODOLOGY/PRINCIPAL

findingsWe thus predicted that 1,061 out of the 89,425 natural products present in the studied database would inhibit hIKK-2 with good ADMET properties. Notably, when these 1,061 molecules were merged with the 98 synthetic hIKK-2 inhibitors used in this study and the resulting set was classified into ten clusters according to chemical similarity, there were three clusters that contained only natural products. Five molecules from these three clusters (for which no anti-inflammatory activity has been previously described) were then selected for in vitro activity testing, in which three out of the five molecules were shown to inhibit hIKK-2. CONCLUSIONS/SIGNIFICANCE: We demonstrated that our virtual-screening protocol was successful in identifying lead compounds for developing new inhibitors for hIKK-2, a target of great interest in medicinal chemistry. Additionally, all the tools developed during the current study (i.e., the homology model for the hIKK-2 kinase domain and the pharmacophore) will be made available to interested readers upon request.

Indexed as

User-Computer InterfaceAmino Acid SequenceBiological ProductsCatalytic DomainComputational BiologyEnzyme AssaysEnzyme InhibitorsHigh-Throughput Screening AssaysHumansI-kappa B KinaseLibraries, DigitalModels, MolecularMolecular Sequence DataProtein Structure, SecondaryProtein Structure, TertiaryReproducibility of ResultsBiological ProductsEnzyme InhibitorsI-kappa B Kinase

Identifiers

PMID21390216
PMCPMC3044726

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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.