Evidence map›Paper›PMID 26160364›Full record

ArticleMolecular diversity2015

Latest QSAR study of adenosine Α₂Β receptor affinity of xanthines and deazaxanthines.

Alfonso Pérez-Garrido, Virginia Rivero-Buceta, Gaspar Cano, Sanjay Kumar, Horacio Pérez-Sánchez, Marta Teijeira Bautista

Abstract read
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In one paragraph

Article in Molecular diversity, 2015. 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
0.6field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

6 authors at 4 institutions in 2 countries.

Alfonso Pérez-GarridoBioinformatics and High Performance Computing Research Group, Computer Science Department, Universidad Católica de Murcia, 30107, Guadalupe, Murcia, Spain. Aperez@ucam.edu.
Virginia Rivero-BucetaDepartamento de Química Orgánica, Universidad de Vigo, 36320, Vigo, Pontevedra, Spain.
Gaspar CanoComputing Technology Department, University of Alicante, Ap. 99, E03080, Alicante, Spain.
Sanjay KumarBioinformatics Centre, Biotech Park, Sector G. Janpakipuram, Lucknow, 226021, India.
Horacio Pérez-SánchezBioinformatics and High Performance Computing Research Group, Computer Science Department, Universidad Católica de Murcia, 30107, Guadalupe, Murcia, Spain.
Marta Teijeira BautistaDepartamento de Química Orgánica, Universidad de Vigo, 36320, Vigo, Pontevedra, Spain.
Universidad Católica San Antonio de Murcia · ESUniversidade de Vigo · ESBiotech Park · INUniversity of Alicante · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenosine, a widespread and endogenous nucleoside that acts as a powerful neuromodulator in the nervous system, is a promising therapeutic target in a wide range of conditions. The structural similarity between xanthine derivatives and neurotransmitter adenosine has led to the derivatives of the heterocyclic ring being among the most abundant chemical classes of ligand antagonists of adenosine receptor subtypes. Small changes in the xanthine scaffold have resulted in a wide array of adenosine receptor antagonists. In this work, we developed a QSAR model for the [Formula: see text] subtype, which is, as yet, not well characterized, with two purposes in mind: to predict adenosine [Formula: see text] antagonist activity and to offer a substructural interpretation of this group of xanthines. The QSAR model provided good classifications of both the test and external sets. In addition, most of the contributions to adenosine [Formula: see text] receptor affinity derived by subfragmentation of the molecules in the training set agree with the relationships observed in the literature. These two factors mean that this QSAR ensemble could be used as a model to predict future adenosine [Formula: see text] antagonist candidates.

Indexed as

Adenosine A2 Receptor AntagonistsDrug DesignHumansMolecular StructureQuantitative Structure-Activity RelationshipXanthinesAdenosine A2 Receptor AntagonistsXanthinesAdenosineAntagonistEnsembleQSARXanthine

Identifiers

PMID26160364
OpenAlexW2470536667

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.