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Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
被引:6
作者:
Liu, Mengyuan
[1
]
Wang, Lushan
[2
]
Zhao, Xian
[1
]
Sun, Xun
[1
]
机构:
[1] Shandong Univ, State Key Lab Crystal Mat, Jinan 250100, Peoples R China
[2] Shandong Univ, State Key Lab Microbial Technol, Jinan 250100, Peoples R China
关键词:
PPAR-alpha;
molecular modeling;
diabetes;
PARTICLE-MESH EWALD;
LINEAR CONSTRAINT SOLVER;
PPAR-ALPHA;
ACID;
GROMACS;
DESIGN;
LIGAND;
GAMMA;
SELECTIVITY;
RESPONSES;
D O I:
10.3390/ijms15058743
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
Peroxisome proliferator activated receptor-alpha (PPAR-alpha) is a ligand-activated transcription factor which plays important roles in lipid and glucose metabolism. The aim of this work is to find residues which selectively recognize PPAR-alpha agonists and antagonists. To achieve this aim, PPAR-alpha/13M and PPAR-alpha/471 complexes were subjected to perform molecular dynamics simulations. This research suggests that several key residues only participate in agonist recognition, while some other key residues only contribute to antagonist recognition. It is hoped that such work is useful for medicinal chemists to design novel PPAR-alpha agonists and antagonists.
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页码:8743 / 8752
页数:10
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