Three-Dimensional Quantitative Structure-Activity Relationships of flavonoids and estrogen receptors based on docking
被引:7
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作者:
Wu Yang
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机构:
Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R ChinaNanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
Wu Yang
[1
]
Wang Yong
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机构:
Shanghai Inst Mat Med, Shanghai 201203, Peoples R ChinaNanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
Wang Yong
[2
]
Zhang AiQian
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机构:
Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R ChinaNanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
Zhang AiQian
[1
]
Yu HongXia
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机构:
Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R ChinaNanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
Yu HongXia
[1
]
Wang LianSheng
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机构:
Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R ChinaNanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
Wang LianSheng
[1
]
机构:
[1] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
[2] Shanghai Inst Mat Med, Shanghai 201203, Peoples R China
flavonoids;
ligand-receptor docking;
Three-Dimensional Quantitative Structure Activity Relationship (3D-QSAR);
comparative molecular field analysis (CoMFA);
molecular similarity index analysis (CoMSIA);
MOLECULAR-FIELD ANALYSIS;
LIGAND-BINDING DOMAIN;
LARGE DIVERSE SET;
QSAR;
COMFA;
3D-QSAR;
MODELS;
PREDICTION;
INHIBITORS;
DERIVATIVES;
D O I:
10.1007/s11434-010-3048-0
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Flavonoids are endocrine disrupting compounds that occur ubiquitously in foods of plant origin. The Three-Dimensional Quantitative Structure-Activity Relationships (3D-QSAR) model based on ligand-receptor docking is established between 20 flavonoids and estrogen receptor alpha (ER alpha), which may provide further theoretical basis for research on the relationship between flavones and estrogen. Comparative molecular field analysis (CoMFA) was employed and the best results of cross-validation and non cross validation were 0.845 and 0.988, respectively. Correspondingly, molecular similarity index analysis (CoMSIA) was employed and the results of cross-validation and non cross validation were 0.670 and 0.990, respectively. The CoMFA/CoMSIA and docking results reveal the structural features for estrogen activity and key amino acid residues in binding pocket, and provide an insight into the interaction between the ligands and these amino acid residues.