Similarities between the Binding Sites of SB-206553 at Serotonin Type 2 and Alpha7 Acetylcholine Nicotinic Receptors: Rationale for Its Polypharmacological Profile

作者: Patricia Möller-Acuña , J. Sebastián Contreras-Riquelme , Cecilia Rojas-Fuentes , Gabriel Nuñez-Vivanco , Jans Alzate-Morales

DOI: 10.1371/JOURNAL.PONE.0134444

关键词:

摘要: Evidence from systems biology indicates that promiscuous drugs, i.e. those act simultaneously at various protein targets, are clinically better in terms of efficacy, than a more selective fashion. This has generated new trend drug development called polypharmacology. However, the rational design compounds is difficult task, particularly when drugs aimed to receptors with diverse structure, function and endogenous ligand. In present work, using docking molecular dynamics methodologies, we established most probable binding sites SB-206553, originally described as competitive antagonist serotonin type 2B/2C metabotropic (5-HT2B/2CRs) recently positive allosteric modulator ionotropic α7 nicotinic acetylcholine receptor (nAChR). To this end, employed crystal structures 5-HT2BR templates build homology models 5-HT2CR nAChR, respectively. Then, statistical algorithm, similarity between these was determined. Our analysis showed plausible for SB-206553 5-HT2Rs nAChR remarkably similar, both size chemical nature amino acid residues lining pockets, thus providing rationale explain its affinity towards types. Finally, computational tool multiple site alignment, determined consensus site, which should be useful novel acting two types highly different targets.

参考文章(52)
Haim J. Wolfson, Model-based object recognition by geometric hashing european conference on computer vision. pp. 526- 536 ,(1990) , 10.1007/BFB0014902
G. T. Young, R. Zwart, A. S. Walker, E. Sher, N. S. Millar, Agonist activation of α7 nicotinic acetylcholine receptors via an allosteric transmembrane site Proceedings of the National Academy of Sciences of the United States of America. ,vol. 105, pp. 14686- 14691 ,(2008) , 10.1073/PNAS.0804372105
Hernán Pessoa-Mahana, Catalina Ugarte Núñez, Ramiro Araya-Maturana, Claudio Saitz Barría, Gerald Zapata-Torres, Carlos David Pessoa-Mahana, Patricio Iturriaga-Vasquez, Jaime Mella-Raipán, Miguel Reyes-Parada, Cristian Celis-Barros, Synthesis, 5-hydroxytryptamine1A receptor affinity and docking studies of 3-[3-(4-aryl-1-piperazinyl)-propyl]-1H-indole derivatives. Chemical & Pharmaceutical Bulletin. ,vol. 60, pp. 632- 638 ,(2012) , 10.1248/CPB.60.632
Hugo R. Arias, Ruo-Xu Gu, Dominik Feuerbach, Bao-Bao Guo, Yong Ye, Dong-Qing Wei, Novel positive allosteric modulators of the human α7 nicotinic acetylcholine receptor. Biochemistry. ,vol. 50, pp. 5263- 5278 ,(2011) , 10.1021/BI102001M
Joël Bockaert, Sylvie Claeysen, Carine Bécamel, Aline Dumuis, Philippe Marin, Neuronal 5-HT metabotropic receptors: fine-tuning of their structure, signaling, and roles in synaptic modulation Cell and Tissue Research. ,vol. 326, pp. 553- 572 ,(2006) , 10.1007/S00441-006-0286-1
Michael R. Braden, Jason C. Parrish, John C. Naylor, David E. Nichols, Molecular interaction of serotonin 5-HT2A receptor residues Phe339(6.51) and Phe340(6.52) with superpotent N-benzyl phenethylamine agonists. Molecular Pharmacology. ,vol. 70, pp. 1956- 1964 ,(2006) , 10.1124/MOL.106.028720
Abdullah Kahraman, Richard J. Morris, Roman A. Laskowski, Janet M. Thornton, Shape variation in protein binding pockets and their ligands. Journal of Molecular Biology. ,vol. 368, pp. 283- 301 ,(2007) , 10.1016/J.JMB.2007.01.086
Didier Rognan, Structure-Based Approaches to Target Fishing and Ligand Profiling Molecular Informatics. ,vol. 29, pp. 176- 187 ,(2010) , 10.1002/MINF.200900081
Caterina Bissantz, Bernd Kuhn, Martin Stahl, A Medicinal Chemist’s Guide to Molecular Interactions Journal of Medicinal Chemistry. ,vol. 53, pp. 5061- 5084 ,(2010) , 10.1021/JM100112J
Chunhua Lu, Fangfang Jin, Cui Li, Weihua Li, Guixia Liu, Yun Tang, None, Insights into binding modes of 5-HT2c receptor antagonists with ligand-based and receptor-based methods Journal of Molecular Modeling. ,vol. 17, pp. 2513- 2523 ,(2011) , 10.1007/S00894-010-0936-9