Please use this identifier to cite or link to this item:
Type: Artigo
Title: Charmm Force Field Parameterization Of Peroxisome Proliferator-activated Receptor Gamma Ligands
Author: Mottin
Melina; Souza
Paulo C. T.; Ricci
Clarisse G.; Skaf
Munir S.
Abstract: The peroxisome proliferator-activated receptor gamma (PPAR gamma) ligands are important therapeutic drugs for the treatment of type 2 diabetes, obesity and cardiovascular diseases. In particular, partial agonists and non-agonists are interesting targets to reduce glucose levels, presenting few side effects in comparison to full agonists. In this work, we present a set of CHARMM-based parameters of a molecular mechanics force field for two PPAR gamma ligands, GQ16 and SR1664. GQ16 belongs to the thiazolidinedione class of drugs and it is a PPAR gamma partial agonist that has been shown to promote the "browning" of white adipose tissue. SR1664 is the precursor of the PPAR gamma non-agonist class of ligands that activates PPAR gamma in a non-classical manner. Here, we use quantum chemical calculations consistent with the CHARMM protocol to obtain bonded and non-bonded parameters, including partial atomic charges and effective torsion potentials for both molecules. The newly parameterized models were evaluated by examining the behavior of GQ16 and SR1664 free in water and bound to the ligand binding pocket of PPAR gamma using molecular dynamics simulations. The potential parameters derived here are readily transferable to a variety of pharmaceutical compounds and similar PPAR gamma ligands.
Subject: Ppar Gamma Ligands
Nuclear Receptor
Charmm Parameters
Molecular Dynamics
Editor: MDPI AG
Citation: International Journal Of Molecular Sciences. Mdpi Ag, v. 18, p. , 2017.
Rights: aberto
Identifier DOI: 10.3390/ijms18010015
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000393030600015.pdf3.97 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.