Zuo Zhili, Chen Gang, Luo Xiaomin, Puah Chummok, Zhu Weiliang, Chen Kaixian, Jiang Hualiang
Drug Discovery and Design Centre, State Key Laboratory of Drug Research, Shanghai Institute of MateriaMedica, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 201203, China.
Acta Biochim Biophys Sin (Shanghai). 2007 Jun;39(6):413-22. doi: 10.1111/j.1745-7270.2007.00295.x.
A new pharmacophore-based modeling procedure, including homology modeling, pharmacophore study, flexible molecular docking, and long-time molecular dynamics (MD) simulations, was employed to construct the structure of the human 5-HT(2C) receptor and determine the characteristics of binding modes of 5-HT(2C) receptor agonists. An agonist-receptor complex has been constructed based on homology modeling and a pharmacophore hypothesis model based on some high active compounds. Then MD simulations of the ligand-receptor complex in an explicit membrane environment were carried out. The conformation of the 5-HT(2C) receptor during MD simulation was explored, and the stable binding modes of the studied agonist were determined. Flexible molecular docking of several structurally diverse agonists of the human 5-HT(2C) receptor was carried out, and the general binding modes of these agonists were investigated. According to the models presented in this work and the results of Flexi-Dock, the involvement of the amino acid residues Asp134, Ser138, Asn210, Asn331, Tyr358, Ile131, Ser132, Val135,Thr139, Ile189, Val202, Val208, Leu209, Phe214, Val215, Gly218, Ser219, Phe223, Trp324, Phe327, and Phe328 in agonist recognition was studied. The obtained binding modes of the human 5-HT(2C) receptor agonists have good agreement with the site-directed mutagenesis data and other studies.
采用一种基于药效团的新建模程序,包括同源建模、药效团研究、柔性分子对接和长时间分子动力学(MD)模拟,来构建人5-HT(2C)受体的结构,并确定5-HT(2C)受体激动剂的结合模式特征。基于同源建模构建了激动剂-受体复合物,并基于一些高活性化合物建立了药效团假设模型。然后在明确的膜环境中对配体-受体复合物进行MD模拟。探索了MD模拟过程中5-HT(2C)受体的构象,并确定了所研究激动剂的稳定结合模式。对几种结构不同的人5-HT(2C)受体激动剂进行了柔性分子对接,并研究了这些激动剂的一般结合模式。根据本研究提出的模型和Flexi-Dock的结果,研究了氨基酸残基Asp134、Ser138、Asn210、Asn331、Tyr358、Ile131、Ser132、Val135、Thr139、Ile189、Val202、Val208、Leu209、Phe214、Val215、Gly218、Ser219、Phe223、Trp324、Phe327和Phe328在激动剂识别中的作用。所获得的人5-HT(2C)受体激动剂的结合模式与定点诱变数据及其他研究结果具有良好的一致性。