Literature DB >> 17038419

The use of in vitro peptide binding profiles and in silico ligand-receptor interaction profiles to describe ligand-induced conformations of the retinoid X receptor alpha ligand-binding domain.

Simon Folkertsma1, Paula I van Noort, Arnold de Heer, Peter Carati, Ralph Brandt, Arie Visser, Gerrit Vriend, Jacob de Vlieg.   

Abstract

It is hypothesized that different ligand-induced conformational changes can explain the different interactions of nuclear receptors with regulatory proteins, resulting in specific biological activities. Understanding the mechanism of how ligands regulate cofactor interaction facilitates drug design. To investigate these ligand-induced conformational changes at the surface of proteins, we performed a time-resolved fluorescence resonance energy transfer assay with 52 different cofactor peptides measuring the ligand-induced cofactor recruitment to the retinoid X receptor-alpha (RXRalpha) in the presence of 11 compounds. Simultaneously we analyzed the binding modes of these compounds by molecular docking. An automated method converted the complex three-dimensional data of ligand-protein interactions into two-dimensional fingerprints, the so-called ligand-receptor interaction profiles. For a subset of compounds the conformational changes at the surface, as measured by peptide recruitment, correlate well with the calculated binding modes, suggesting that clustering of ligand-receptor interaction profiles is a very useful tool to discriminate compounds that may induce different conformations and possibly different effects in a cellular environment. In addition, we successfully combined ligand-receptor interaction profiles and peptide recruitment data to reveal structural elements that are possibly involved in the ligand-induced conformations. Interestingly, we could predict a possible binding mode of LG100754, a homodimer antagonist that showed no effect on peptide recruitment. Finally, the extensive analysis of the peptide recruitment profiles provided novel insight in the potential cellular effect of the compound; for the first time, we showed that in addition to the induction of coactivator peptide binding, all well-known RXRalpha agonists also induce binding of corepressor peptides to RXRalpha.

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Year:  2006        PMID: 17038419     DOI: 10.1210/me.2006-0072

Source DB:  PubMed          Journal:  Mol Endocrinol        ISSN: 0888-8809


  6 in total

1.  Nuclear receptor-coregulator interaction profiling identifies TRIP3 as a novel peroxisome proliferator-activated receptor gamma cofactor.

Authors:  Arjen Koppen; Rene Houtman; Dirk Pijnenburg; Ellen H Jeninga; Rob Ruijtenbeek; Eric Kalkhoven
Journal:  Mol Cell Proteomics       Date:  2009-07-10       Impact factor: 5.911

2.  Differential biochemical and cellular actions of Premarin estrogens: distinct pharmacology of bazedoxifene-conjugated estrogens combination.

Authors:  Thomas J Berrodin; Ken C N Chang; Barry S Komm; Leonard P Freedman; Sunil Nagpal
Journal:  Mol Endocrinol       Date:  2008-11-26

3.  Deuterium exchange and mass spectrometry reveal the interaction differences of two synthetic modulators of RXRalpha LBD.

Authors:  Xuguang Yan; Efrén Pérez; Mark Leid; Michael I Schimerlik; Angel R de Lera; Max L Deinzer
Journal:  Protein Sci       Date:  2007-09-28       Impact factor: 6.725

4.  Rapid Screening of Glucocorticoid Receptor (GR) Effectors Using Cortisol-Detecting Sensor Cells.

Authors:  Jeahee Ryu; Euiyeon Lee; Chungwon Kang; Minhyeong Lee; Soyoun Kim; Seungil Park; Dae Yeon Lee; Youngeun Kwon
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

5.  The "Phantom Effect" of the Rexinoid LG100754: structural and functional insights.

Authors:  Yoshiteru Sato; Nick Ramalanjaona; Tiphaine Huet; Noelle Potier; Judit Osz; Pierre Antony; Carole Peluso-Iltis; Pierre Poussin-Courmontagne; Eric Ennifar; Yves Mély; Annick Dejaegere; Dino Moras; Natacha Rochel
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

6.  Contextual specificity in peptide-mediated protein interactions.

Authors:  Amelie Stein; Patrick Aloy
Journal:  PLoS One       Date:  2008-07-02       Impact factor: 3.240

  6 in total

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