Evidence map›Paper›PMID 24900310›Full record

ArticleACS medicinal chemistry letters2011

Homology Model Versus X-ray Structure in Receptor-based Drug Design: A Retrospective Analysis with the Dopamine D3 Receptor.

Nicolas Levoin, Thierry Calmels, Stéphane Krief, Denis Danvy, Isabelle Berrebi-Bertrand, Jeanne-Marie Lecomte, Jean-Charles Schwartz, Marc Capet

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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.

Nicolas LevoinBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Thierry CalmelsBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Stéphane KriefBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Denis DanvyBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Isabelle Berrebi-BertrandBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Jeanne-Marie LecomteBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Jean-Charles SchwartzBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.
Marc CapetBioprojet-Biotech, 4 rue du Chesnay-Beauregard, 35762 Saint-Grégoire, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structure-based design methods commonly used in medicinal chemistry rely on a three-dimensional representation of the receptor. However, few crystal structures are solved in comparison with the huge number of pharmaceutical targets. This often renders homology models the only information available. It is particularly true for G protein-coupled receptors (GPCRs), one of the most important targets for approved medicines and current drug discovery projects. However, very few studies have tested their validity in comparison with corresponding crystal structures, especially in a lead optimization perspective. The recent solving of dopamine D3 receptor crystal structure allowed us to assess our historical homology model. We performed a statistical analysis, by docking our in-house lead optimization library of 1500 molecules. We demonstrate here that the refined homology model suits at least as well as the X-ray structure. It is concluded that when the crystal structure of a given GPCR is not available, homology modeling can be an excellent surrogate to support drug discovery efforts.

Indexed as

dockingDopamine D3 receptorG protein-coupled receptorshomology modellead optimization

Identifiers

PMID24900310
PMCPMC4018084

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.