Literature DB >> 25250508

Importance of the pharmacological profile of the bound ligand in enrichment on nuclear receptors: toward the use of experimentally validated decoy ligands.

Nathalie Lagarde1, Jean-François Zagury, Matthieu Montes.   

Abstract

The evaluation of virtual ligand screening methods is of major importance to ensure their reliability. Taking into account the agonist/antagonist pharmacological profile should improve the quality of the benchmarking data sets since ligand binding can induce conformational changes in the nuclear receptor structure and such changes may vary according to the agonist/antagonist ligand profile. We indeed found that splitting the agonist and antagonist ligands into two separate data sets for a given nuclear receptor target significantly enhances the quality of the evaluation. The pharmacological profile of the ligand bound in the binding site of the target structure was also found to be an additional critical parameter. We also illustrate that active compound data sets for a given pharmacological activity can be used as a set of experimentally validated decoy ligands for another pharmacological activity to ensure a reliable and challenging evaluation of virtual screening methods.

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Year:  2014        PMID: 25250508     DOI: 10.1021/ci500305c

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

1.  Discriminating agonist and antagonist ligands of the nuclear receptors using 3D-pharmacophores.

Authors:  Nathalie Lagarde; Solenne Delahaye; Jean-François Zagury; Matthieu Montes
Journal:  J Cheminform       Date:  2016-09-06       Impact factor: 5.514

2.  Endocrine Disruption at the Androgen Receptor: Employing Molecular Dynamics and Docking for Improved Virtual Screening and Toxicity Prediction.

Authors:  Joel Wahl; Martin Smieško
Journal:  Int J Mol Sci       Date:  2018-06-15       Impact factor: 5.923

3.  Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist Compounds.

Authors:  Manon Réau; Nathalie Lagarde; Jean-François Zagury; Matthieu Montes
Journal:  Cells       Date:  2019-11-13       Impact factor: 6.600

Review 4.  Decoys Selection in Benchmarking Datasets: Overview and Perspectives.

Authors:  Manon Réau; Florent Langenfeld; Jean-François Zagury; Nathalie Lagarde; Matthieu Montes
Journal:  Front Pharmacol       Date:  2018-01-24       Impact factor: 5.810

  4 in total

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