Evidence map›Paper›PMID 27618029›Full record

ReviewInternational journal of molecular sciences2016

Virtual Screening Approaches towards the Discovery of Toll-Like Receptor Modulators.

Lucía Pérez-Regidor, Malik Zarioh, Laura Ortega, Sonsoles Martín-Santamaría

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Development and Testing of Druglike Screening Libraries.Journal of chemical information and modeling · 2019
    Article
  13. Article
  14. Review
  15. Data Analysis in Chemistry and Bio-Medical Sciences.International journal of molecular sciences · 2016
    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.

Lucía Pérez-RegidorDepartment of Chemical & Physical Biology, Centro de Investigaciones Biológicas, CIB-CSIC, C/Ramiro de Maeztu, 9, 28040 Madrid, Spain. lucia.perez.regidor@cib.csic.es.
Malik ZariohDepartment of Chemical & Physical Biology, Centro de Investigaciones Biológicas, CIB-CSIC, C/Ramiro de Maeztu, 9, 28040 Madrid, Spain. m.zarioh17@gmail.com.
Laura OrtegaDepartment of Chemical & Physical Biology, Centro de Investigaciones Biológicas, CIB-CSIC, C/Ramiro de Maeztu, 9, 28040 Madrid, Spain. l.ortegavarga@gmail.com.
Sonsoles Martín-SantamaríaDepartment of Chemical & Physical Biology, Centro de Investigaciones Biológicas, CIB-CSIC, C/Ramiro de Maeztu, 9, 28040 Madrid, Spain. smsantamaria@cib.csic.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aims to summarize the latest efforts performed in the search for novel chemical entities such as Toll-like receptor (TLR) modulators by means of virtual screening techniques. This is an emergent research field with only very recent (and successful) contributions. Identification of drug-like molecules with potential therapeutic applications for the treatment of a variety of TLR-regulated diseases has attracted considerable interest due to the clinical potential. Additionally, the virtual screening databases and computational tools employed have been overviewed in a descriptive way, widening the scope for researchers interested in the field.

Indexed as

Computational BiologyComputer SimulationDatabases, ChemicalDrug DiscoveryHumansSmall Molecule LibrariesToll-Like ReceptorsSmall Molecule LibrariesToll-Like Receptorscomputational approachesdrug discoveryTLR modulatorsToll-like receptorvirtual screening

Identifiers

PMID27618029
PMCPMC5037785

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.