Monoamine Transporter Structure, Function, Dynamics, and Drug Discovery: A Computational Perspective

被引:35
|
作者
Manepalli, Sankar [1 ]
Surratt, Christopher K. [2 ]
Madura, Jeffry D. [1 ]
Nolan, Tammy L. [1 ,2 ,3 ]
机构
[1] Duquesne Univ, Ctr Computat Sci, Dept Chem & Biochem, Pittsburgh, PA 15219 USA
[2] Duquesne Univ, Mylan Sch Pharm, Div Pharmaceut Sci, Pittsburgh, PA 15219 USA
[3] Duquesne Univ, Pittsburgh, PA 15282 USA
来源
AAPS JOURNAL | 2012年 / 14卷 / 04期
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
homology model; molecular dynamics; monoamine transporter; virtual screening; HUMAN SEROTONIN TRANSPORTER; DEPENDENT NEUROTRANSMITTER TRANSPORTERS; PHARMACOPHORE-BASED DISCOVERY; ANTIDEPRESSANT BINDING-SITE; ANTI-SARS DRUGS; DOPAMINE TRANSPORTER; NOREPINEPHRINE TRANSPORTER; MOLECULAR-DYNAMICS; BACTERIAL HOMOLOG; INHIBITORS;
D O I
10.1208/s12248-012-9391-0
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
With the breakthrough crystallization of the bacterial leucine transporter protein LeuT, the first available X-ray structure for the neurotransmitter/sodium symporter family, development of 3-D computational models is suddenly essential for structure-function studies on the plasmalemmal monoamine transporters (MATs). LeuT-based MAT models have been used to guide elucidation of substrate and inhibitor binding pockets, and molecular dynamics simulations using these models are providing insight into conformations involved in the substrate translocation cycle. With credible MAT models finally in hand, structure-based virtual screening for novel ligands is yielding lead compounds toward the development of new medications for psychostimulant dependence, attention deficit hyperactivity, depression, anxiety, schizophrenia, and other disorders associated with dopamine, norepinephrine, or serotonin dysregulation.
引用
收藏
页码:820 / 831
页数:12
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