Evidence map›Paper›PMID 26205409›Full record

ArticleMolecular diversity2016

Topological sub-structural molecular design (TOPS-MODE): a useful tool to explore key fragments of human A3 adenosine receptor ligands.

Liane Saíz-Urra, Marta Teijeira, Virginia Rivero-Buceta, Aliuska Morales Helguera, Maria Celeiro, Ma Carmen Terán, Pedro Besada, Fernanda Borges

Abstract read
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Article in Molecular diversity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

8 authors.

Liane Saíz-UrraLaboratory for Medicinal Chemistry, Rega Institute for Medical Research, Katholieke Universiteit Leuven, Minderbroedersstraat 10, 3000, Leuven, Belgium.
Marta TeijeiraDepartamento de Química Orgánica. Facultade de Química, Universidade de Vigo, 36310, Vigo, Spain. qomaca@uvigo.es.ORCID http://orcid.org/0000-0001-9833-134X
Virginia Rivero-BucetaDepartamento de Química Orgánica. Facultade de Química, Universidade de Vigo, 36310, Vigo, Spain.
Aliuska Morales HelgueraCIQ, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, 4169-007, Porto, Portugal.
Maria CeleiroDepartamento de Química Orgánica. Facultade de Química, Universidade de Vigo, 36310, Vigo, Spain.
Ma Carmen TeránDepartamento de Química Orgánica. Facultade de Química, Universidade de Vigo, 36310, Vigo, Spain.
Pedro BesadaDepartamento de Química Orgánica. Facultade de Química, Universidade de Vigo, 36310, Vigo, Spain.
Fernanda BorgesCIQ, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, 4169-007, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenosine regulates tissue function by activating four G-protein-coupled adenosine receptors (ARs). Selective agonists and antagonists for A3 ARs have been investigated for the treatment of a variety of immune disorders, cancer, brain, and heart ischemic conditions. We herein present a QSAR study based on a Topological sub-structural molecular design (TOPS-MODE) approach, intended to predict the A3 ARs of a diverse dataset of 124 (94 training set/ 30 prediction set) adenosine derivatives. The final model showed good fit and predictive capability, displaying 85.1 % of the experimental variance. The TOPS-MODE approach afforded a better understanding and interpretation of the developed model based on the useful information extracted from the analysis of the contribution of different molecular fragments to the affinity.

Indexed as

Adenosine A3 Receptor AgonistsAdenosine A3 Receptor AntagonistsComputational BiologyDrug DiscoveryHumansModels, MolecularMolecular StructureProtein BindingQuantitative Structure-Activity RelationshipReceptor, Adenosine A3Adenosine A3 Receptor AgonistsAdenosine A3 Receptor AntagonistsReceptor, Adenosine A3adenosine receptor agonistFragment contributionsQSARTOPS-MODE, Ddrug discovery

Identifiers

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.