Selective changes in the levels of nicotinic acetylcholine receptor protein and of corresponding mRNA species in the brains of patients with Parkinson’s disease

2002 ◽  
Vol 956 (2) ◽  
pp. 358-366 ◽  
Author(s):  
Zhi-Zhong Guan ◽  
Agneta Nordberg ◽  
Malahat Mousavi ◽  
Juha O Rinne ◽  
Ewa Hellström-Lindahl
1995 ◽  
Vol 187 (3) ◽  
pp. 173-176 ◽  
Author(s):  
Hannsjörg Schröder ◽  
Robert A.I. de Vos ◽  
Ernst N.H. Jansen ◽  
Christina Birtsch ◽  
Andrea Wevers ◽  
...  

2020 ◽  
Vol 20 (11) ◽  
pp. 1031-1041
Author(s):  
Deepika Purohit ◽  
Vandana Saini ◽  
Sanjiv Kumar ◽  
Ajit Kumar ◽  
Balasubramanian Narasimhan

Background & Objective: Comparative molecular field analysis (CoMFA) of 27 analogues of 2-((pyridin-3-yloxy)methyl)piperazine derivatives was carried out using software Tripos SYBYL X. Optimal r2 (0.854) and q2 (0.541) values were obtained for the developed 3D-QSAR model. The contour plots obtained from CoMFA analysis have shown 13.84% steric contribution and 66.14% electrostatic contribution towards an anti-inflammatory activity. Methods: The homology model of the receptor protein, α7 nicotinic acetylcholine, was generated in SWISS MODELLER using auto template mode and was analysed for the quality using Procheck, QMEAN Z-score, Anolea and GROMOS plots. The QMEAN score for the model was observed to be - 3.862. The generated model of alpha 7 nicotinic acetylcholine receptor was used for docking study of 27 piperazine analogues using Auto-Dock 4.2.5.1. Results: The dock score obtained from docking analysis was then correlated with experimental pIC50 values for in-silico validation of the developed CoMFA model and a good correlation was obtained with correlation coefficient (r2) value of -0.7378. Conclusion: The present investigation suggests an optimal 3D-QSAR with CoMFA model for further evaluating new chemical entities based on piperazine skeleton.


2017 ◽  
Author(s):  
David Naugler ◽  
Robert J. Cushley ◽  
Ian Clark-Lewis

AbstractEthanol exerts its actions in the central and peripheral nervous systems through the direct interactions with several proteins, including ligand-gated ion channels such as the nicotinic acetylcholine receptor (nAChR). The binding interaction between ethanol and sodium cholate solubilized nicotinic acetylcholine receptor protein can be detected through either NMR line broadening or T1 titration. In this paper, we examine the use of weighted Navon T1p analysis of T1 titration data for the estimation of the dissociation constant of ethanol for the nAChR. We show that Navon T1p analysis underestimates binding affinity. The application of rigorous limits for confidence intervals within a nonlinear regression analysis of this data provides a best estimate of Kd = 55 μM at 4 °C. within an unsymmetrical 90% confidence interval of [0.5, 440 μM]. Accordingly, the best estimate of the binding free energy is ΔG0, = −5.4 Kcal/mole within a 90% confidence interval of [−8.0, −4.3 Kcal/mole],relative to conventional standard states.


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