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Journal of Computer-Aided Molecular Design

, Volume 25, Issue 8, pp 717–728 | Cite as

Structural insights for the design of new PPARgamma partial agonists with high binding affinity and low transactivation activity

  • Laura Guasch
  • Esther Sala
  • Cristina Valls
  • Mayte Blay
  • Miquel Mulero
  • Lluís Arola
  • Gerard Pujadas
  • Santiago Garcia-Vallvé
Article

Abstract

Peroxisome Proliferator-Activated Receptor γ (PPARγ) full agonists are molecules with powerful insulin-sensitizing action that are used as antidiabetic drugs. Unfortunately, these compounds also present various side effects. Recent results suggest that effective PPARγ agonists should show a low transactivation activity but a high binding affinity to inhibit phosphorylation at Ser273. We use several structure activity relationship studies of synthetic PPARγ agonists to explore the different binding features of full and partial PPARγ agonists with the aim of differentiating the features needed for binding and those needed for the transactivation activity of PPARγ. Our results suggest that effective partial agonists should have a hydrophobic moiety and an acceptor site with an appropriate conformation to interact with arm II and establish a hydrogen bond with Ser342 or an equivalent residue at arm III. Despite the fact that interactions with arm I increase the binding affinity, this region should be avoided in order to not increase the transactivation activity of potential PPARγ partial agonists.

Keywords

PPARgamma Antidiabetics PPARgamma partial agonists Drug design 3D-QSAR 

Abbreviations

LBD

Ligand binding domain

PPAR

Peroxisome proliferator-activated receptor

QSAR

Quantitative structure–activity relationship

SAR

Structure activity relationship

TZDs

Thiazolidinediones

Notes

Acknowledgments

This manuscript was edited for English language fluency by American Journal Experts. This study was supported by Grant Number AGL2008-00387/ALI from the Ministerio de Educación y Ciencia of the Spanish Government and the ACC1Ó (TECCT10-1-0008) program (Generalitat de Catalunya). The authors wish to thank the Servei de Disseny de Fàrmacs (Drug Design Service) of the Catalonia Supercomputer Center (CESCA) for providing access to Schrödinger software.

Supplementary material

10822_2011_9446_MOESM1_ESM.doc (86 kb)
Supplementary material 1 (DOC 86 kb)

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Laura Guasch
    • 1
  • Esther Sala
    • 1
  • Cristina Valls
    • 1
  • Mayte Blay
    • 1
  • Miquel Mulero
    • 1
  • Lluís Arola
    • 1
    • 2
  • Gerard Pujadas
    • 1
    • 2
  • Santiago Garcia-Vallvé
    • 1
    • 2
  1. 1.Grup de Recerca en Nutrigenòmica, Departament de Bioquímica i BiotecnologiaUniversitat Rovira i VirgiliTarragona, CataloniaSpain
  2. 2.CTNS, Centre Tecnològic de Nutrició i SalutReusSpain

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