Analysis of hydrophobic interactions of antagonists with the beta2-adrenergic receptor
被引:6
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作者:
Novoseletsky, V. N.
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Russian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, RussiaRussian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, Russia
Novoseletsky, V. N.
[1
]
Pyrkov, T. V.
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Russian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, RussiaRussian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, Russia
Pyrkov, T. V.
[1
]
Efremov, R. G.
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Russian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, RussiaRussian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, Russia
Efremov, R. G.
[1
]
机构:
[1] Russian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Che, Moscow 117997, Russia
The adrenergic receptors mediate a wide variety of physiological responses, including vasodilatation and vasoconstriction, heart rate modulation, and others. Beta-adrenergic antagonists ('beta-blockers') thus constitute a widely used class of drugs in cardiovascular medicine as well as in management of anxiety, migraine, and glaucoma. The importance of the hydrophobic effect has been evidenced for a wide range of beta-blocker properties. To better understand the role of the hydrophobic effect in recognition of beta-blockers by their receptor, we carried out a molecular docking study combined with an original approach to estimate receptor-ligand hydrophobic interactions. The proposed method is based on automatic detection of molecular fragments in ligands and the analysis of their interactions with receptors separately. A series of beta-blockers, based on phenylethanolamines and phenoxypropanolamines, were docked to the beta2-adrenoceptor binding site in the crystal structure. Hydrophobic complementarity between the ligand and the receptor was calculated using the PLATINUM web-server (http://model.nmr.ru/platinum). Based on the analysis of the hydrophobic match for molecular fragments of beta-blockers, we have developed a new scoring function which efficiently predicts dissociation constant (pKd) with strong correlations (r2 0.8) with experimental data.
机构:Shandong University School of Medicine,Key Laboratory for Experimental Teratology of the Ministry of Education, Department of Biochemistry and Molecular Biology
Jun-hong Dong
Xin Chen
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机构:Shandong University School of Medicine,Key Laboratory for Experimental Teratology of the Ministry of Education, Department of Biochemistry and Molecular Biology
Xin Chen
Min Cui
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机构:Shandong University School of Medicine,Key Laboratory for Experimental Teratology of the Ministry of Education, Department of Biochemistry and Molecular Biology
Min Cui
Xiao Yu
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机构:Shandong University School of Medicine,Key Laboratory for Experimental Teratology of the Ministry of Education, Department of Biochemistry and Molecular Biology
Xiao Yu
Qi Pang
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机构:Shandong University School of Medicine,Key Laboratory for Experimental Teratology of the Ministry of Education, Department of Biochemistry and Molecular Biology
Qi Pang
Jin-peng Sun
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机构:Shandong University School of Medicine,Key Laboratory for Experimental Teratology of the Ministry of Education, Department of Biochemistry and Molecular Biology
Jin-peng Sun
Journal of Molecular Neuroscience,
2012,
48
: 456
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463