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PDBsum entry 2asg
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Membrane protein
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PDB id
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2asg
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Theoretical model |
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PDB id:
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Membrane protein
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Title:
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Binding domain of non-competitive inhibitors in the alpha3beta4 subtype of nicotinic acetylcholine receptor
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Structure:
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Neuronal acetylcholine receptor protein. Chain: a, c. Fragment: residues 269-291. Other_details: alpha-3 subunit. Neuronal acetylcholine receptor protein. Chain: b, d, e. Fragment: residues 262-284. Other_details: beta-4 subunit
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Source:
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Homo sapiens. Human. Human
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Authors:
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K.Jozwiak,S.Ravichandran,J.R.Collins,I.W.Wainer
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Key ref:
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K.Jozwiak
et al.
(2004).
Interaction of noncompetitive inhibitors with an immobilized alpha3beta4 nicotinic acetylcholine receptor investigated by affinity chromatography, quantitative-structure activity relationship analysis, and molecular docking.
J Med Chem,
47,
4008-4021.
PubMed id:
DOI:
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Date:
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23-Aug-05
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Release date:
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13-Sep-05
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PROCHECK
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Headers
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References
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DOI no:
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J Med Chem
47:4008-4021
(2004)
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PubMed id:
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Interaction of noncompetitive inhibitors with an immobilized alpha3beta4 nicotinic acetylcholine receptor investigated by affinity chromatography, quantitative-structure activity relationship analysis, and molecular docking.
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K.Jozwiak,
S.Ravichandran,
J.R.Collins,
I.W.Wainer.
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ABSTRACT
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A large number of drug substances act as noncompetitive inhibitors (NCIs) of the
nicotinic acetylcholine receptor (nAChR) by blocking the ion flux through the
channel. An affinity chromatography technique has been developed for
investigating the interactions between NCIs and the alpha3beta4 subtype of
neuronal nAChR. The data obtained from the chromatographic study were used to
construct QSAR models of the NCI-nAChR binding with both electronic and steric
parameters observed as important descriptors. A molecular model of the
transmembrane domain of the alpha3beta4 subtype of nAChR was constructed and
used to simulate the docking of a series of NCIs. A key aspect of the model was
the discovery of the cleft produced by the incorporation of the bulky
phenylalanine moiety into the nonpolar section of the lumen by the beta4
subunit. Quantitatively, the results of docking simulations modeled the
experimental affinity data better than QSAR results. The computational approach,
combined with the modeling of NCI-nAChR interaction by affinity chromatography,
can be used to predict possible toxicities and adverse interactions.
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Literature references that cite this PDB file's key reference
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PubMed id
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Reference
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B.Keshet,
J.J.Gray,
and
T.A.Good
(2010).
Structurally distinct toxicity inhibitors bind at common loci on β-amyloid fibril.
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Protein Sci,
19,
2291-2304.
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A.Taly,
P.J.Corringer,
D.Guedin,
P.Lestage,
and
J.P.Changeux
(2009).
Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system.
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Nat Rev Drug Discov,
8,
733-750.
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H.R.Arias,
F.Gumilar,
A.Rosenberg,
K.M.Targowska-Duda,
D.Feuerbach,
K.Jozwiak,
R.Moaddel,
I.W.Wainer,
and
C.Bouzat
(2009).
Interaction of bupropion with muscle-type nicotinic acetylcholine receptors in different conformational states.
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Biochemistry,
48,
4506-4518.
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H.R.Arias
(2009).
Is the inhibition of nicotinic acetylcholine receptors by bupropion involved in its clinical actions?
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Int J Biochem Cell Biol,
41,
2098-2108.
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J.E.Schiel,
and
D.S.Hage
(2009).
Kinetic studies of biological interactions by affinity chromatography.
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J Sep Sci,
32,
1507-1522.
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V.P.Grinevich,
R.L.Papke,
P.M.Lippiello,
and
M.Bencherif
(2009).
Atypical antipsychotics as noncompetitive inhibitors of alpha4beta2 and alpha7 neuronal nicotinic receptors.
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Neuropharmacology,
57,
183-191.
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I.W.Wainer
(2008).
Investigation of molecular recognition in biological systems using cellular membrane affinity chromatography.
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Chim Oggi,
26,
19-22.
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K.Jozwiak,
R.Moaddel,
S.Ravichandran,
A.Plazinska,
J.Kozak,
S.Patel,
R.Yamaguchi,
and
I.W.Wainer
(2008).
Exploring enantiospecific ligand-protein interactions using cellular membrane affinity chromatography: chiral recognition as a dynamic process.
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J Chromatogr B Analyt Technol Biomed Life Sci,
875,
200-207.
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W.Deng,
and
C.L.Verlinde
(2008).
Evaluation of different virtual screening programs for docking in a charged binding pocket.
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J Chem Inf Model,
48,
2010-2020.
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R.Moaddel,
K.Jozwiak,
and
I.W.Wainer
(2007).
Allosteric modifiers of neuronal nicotinic acetylcholine receptors: new methods, new opportunities.
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Med Res Rev,
27,
723-753.
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R.Moaddel,
S.Ravichandran,
F.Bighi,
R.Yamaguchi,
and
I.W.Wainer
(2007).
Pharmacophore modelling of stereoselective binding to the human organic cation transporter (hOCT1).
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Br J Pharmacol,
151,
1305-1314.
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K.Jozwiak,
R.Moaddel,
R.Yamaguchi,
A.Maciuk,
and
I.W.Wainer
(2006).
Non-competitive inhibitory activities of morphinan and morphine derivatives at the alpha 3 beta 4 Neuronal nicotinic acetylcholine receptor determined using nonlinear chromatography and chemometric techniques.
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Pharm Res,
23,
2175-2182.
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R.J.Law,
R.H.Henchman,
and
J.A.McCammon
(2005).
A gating mechanism proposed from a simulation of a human alpha7 nicotinic acetylcholine receptor.
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Proc Natl Acad Sci U S A,
102,
6813-6818.
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The most recent references are shown first.
Citation data come partly from CiteXplore and partly
from an automated harvesting procedure. Note that this is likely to be
only a partial list as not all journals are covered by
either method. However, we are continually building up the citation data
so more and more references will be included with time.
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